Interactive, Mobile, Distributed Pattern Recognition
Identifieur interne : 000135 ( Istex/Corpus ); précédent : 000134; suivant : 000136Interactive, Mobile, Distributed Pattern Recognition
Auteurs : George NagySource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2005.
Abstract
Abstract: As the accuracy of conventional classifiers, based only on a static partitioning of feature space, appears to be approaching a limit, it may be useful to consider alternative approaches. Interactive classification is often more accurate then algorithmic classification, and requires less time than the unaided human. It is more suitable for the recognition of natural patterns in a narrow domain like trees, weeds or faces than for symbolic patterns like letters and phonemes. On the other hand, symbolic patterns lend themselves better to using context and style to recognize entire fields instead of individual patterns. Algorithmic learning and adaptation is facilitated by accurate statistics gleaned from large samples in the case of symbolic patterns, and by skilled human judgment in the case of natural patterns. Recent technological advances like pocket computers, camera phones and wireless networks will have greater influence on mobile, distributed, interactive recognition of natural patterns than on conventional high-volume applications like mail sorting , check reading or forms processing.
Url:
DOI: 10.1007/11553595_5
Links to Exploration step
ISTEX:ED6C553D28C60615084923FCAB4F0A5FB8FED11ALe document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Interactive, Mobile, Distributed Pattern Recognition</title>
<author><name sortKey="Nagy, George" sort="Nagy, George" uniqKey="Nagy G" first="George" last="Nagy">George Nagy</name>
<affiliation><mods:affiliation>DocLab, Rensselaer Polytechnic Institute, 12180, Troy, NY, USA</mods:affiliation>
</affiliation>
<affiliation><mods:affiliation>E-mail: nagy@ecse.rpi.edu</mods:affiliation>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">ISTEX</idno>
<idno type="RBID">ISTEX:ED6C553D28C60615084923FCAB4F0A5FB8FED11A</idno>
<date when="2005" year="2005">2005</date>
<idno type="doi">10.1007/11553595_5</idno>
<idno type="url">https://api.istex.fr/document/ED6C553D28C60615084923FCAB4F0A5FB8FED11A/fulltext/pdf</idno>
<idno type="wicri:Area/Istex/Corpus">000135</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Interactive, Mobile, Distributed Pattern Recognition</title>
<author><name sortKey="Nagy, George" sort="Nagy, George" uniqKey="Nagy G" first="George" last="Nagy">George Nagy</name>
<affiliation><mods:affiliation>DocLab, Rensselaer Polytechnic Institute, 12180, Troy, NY, USA</mods:affiliation>
</affiliation>
<affiliation><mods:affiliation>E-mail: nagy@ecse.rpi.edu</mods:affiliation>
</affiliation>
</author>
</analytic>
<monogr></monogr>
<series><title level="s">Lecture Notes in Computer Science</title>
<imprint><date>2005</date>
</imprint>
<idno type="ISSN">0302-9743</idno>
<idno type="eISSN">1611-3349</idno>
<idno type="ISSN">0302-9743</idno>
</series>
<idno type="istex">ED6C553D28C60615084923FCAB4F0A5FB8FED11A</idno>
<idno type="DOI">10.1007/11553595_5</idno>
<idno type="ChapterID">5</idno>
<idno type="ChapterID">Chap5</idno>
</biblStruct>
</sourceDesc>
<seriesStmt><idno type="ISSN">0302-9743</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass></textClass>
<langUsage><language ident="en">en</language>
</langUsage>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Abstract: As the accuracy of conventional classifiers, based only on a static partitioning of feature space, appears to be approaching a limit, it may be useful to consider alternative approaches. Interactive classification is often more accurate then algorithmic classification, and requires less time than the unaided human. It is more suitable for the recognition of natural patterns in a narrow domain like trees, weeds or faces than for symbolic patterns like letters and phonemes. On the other hand, symbolic patterns lend themselves better to using context and style to recognize entire fields instead of individual patterns. Algorithmic learning and adaptation is facilitated by accurate statistics gleaned from large samples in the case of symbolic patterns, and by skilled human judgment in the case of natural patterns. Recent technological advances like pocket computers, camera phones and wireless networks will have greater influence on mobile, distributed, interactive recognition of natural patterns than on conventional high-volume applications like mail sorting , check reading or forms processing.</div>
</front>
</TEI>
<istex><corpusName>springer</corpusName>
<author><json:item><name>George Nagy</name>
<affiliations><json:string>DocLab, Rensselaer Polytechnic Institute, 12180, Troy, NY, USA</json:string>
<json:string>E-mail: nagy@ecse.rpi.edu</json:string>
</affiliations>
</json:item>
</author>
<language><json:string>eng</json:string>
</language>
<abstract>Abstract: As the accuracy of conventional classifiers, based only on a static partitioning of feature space, appears to be approaching a limit, it may be useful to consider alternative approaches. Interactive classification is often more accurate then algorithmic classification, and requires less time than the unaided human. It is more suitable for the recognition of natural patterns in a narrow domain like trees, weeds or faces than for symbolic patterns like letters and phonemes. On the other hand, symbolic patterns lend themselves better to using context and style to recognize entire fields instead of individual patterns. Algorithmic learning and adaptation is facilitated by accurate statistics gleaned from large samples in the case of symbolic patterns, and by skilled human judgment in the case of natural patterns. Recent technological advances like pocket computers, camera phones and wireless networks will have greater influence on mobile, distributed, interactive recognition of natural patterns than on conventional high-volume applications like mail sorting , check reading or forms processing.</abstract>
<qualityIndicators><score>6.45</score>
<pdfVersion>1.3</pdfVersion>
<pdfPageSize>430 x 660 pts</pdfPageSize>
<refBibsNative>false</refBibsNative>
<keywordCount>0</keywordCount>
<abstractCharCount>1116</abstractCharCount>
<pdfWordCount>4494</pdfWordCount>
<pdfCharCount>28376</pdfCharCount>
<pdfPageCount>13</pdfPageCount>
<abstractWordCount>163</abstractWordCount>
</qualityIndicators>
<title>Interactive, Mobile, Distributed Pattern Recognition</title>
<genre.original><json:string>OriginalPaper</json:string>
</genre.original>
<chapterId><json:string>5</json:string>
<json:string>Chap5</json:string>
</chapterId>
<genre><json:string>conference [eBooks]</json:string>
</genre>
<serie><editor><json:item><name>David Hutchison</name>
<affiliations><json:string>Lancaster University, UK</json:string>
</affiliations>
</json:item>
<json:item><name>Takeo Kanade</name>
<affiliations><json:string>Carnegie Mellon University, Pittsburgh, PA, USA</json:string>
</affiliations>
</json:item>
<json:item><name>Josef Kittler</name>
<affiliations><json:string>University of Surrey, Guildford, UK</json:string>
</affiliations>
</json:item>
<json:item><name>Jon M. Kleinberg</name>
<affiliations><json:string>Cornell University, Ithaca, NY, USA</json:string>
</affiliations>
</json:item>
<json:item><name>Friedemann Mattern</name>
<affiliations><json:string>ETH Zurich, Switzerland</json:string>
</affiliations>
</json:item>
<json:item><name>John C. Mitchell</name>
<affiliations><json:string>Stanford University, CA, USA</json:string>
</affiliations>
</json:item>
<json:item><name>Moni Naor</name>
<affiliations><json:string>Weizmann Institute of Science, Rehovot, Israel</json:string>
</affiliations>
</json:item>
<json:item><name>Oscar Nierstrasz</name>
<affiliations><json:string>University of Bern, Switzerland</json:string>
</affiliations>
</json:item>
<json:item><name>C. Pandu Rangan</name>
<affiliations><json:string>Indian Institute of Technology, Madras, India</json:string>
</affiliations>
</json:item>
<json:item><name>Bernhard Steffen</name>
<affiliations><json:string>University of Dortmund, Germany</json:string>
</affiliations>
</json:item>
<json:item><name>Madhu Sudan</name>
<affiliations><json:string>Massachusetts Institute of Technology, MA, USA</json:string>
</affiliations>
</json:item>
<json:item><name>Demetri Terzopoulos</name>
<affiliations><json:string>New York University, NY, USA</json:string>
</affiliations>
</json:item>
<json:item><name>Dough Tygar</name>
<affiliations><json:string>University of California, Berkeley, CA, USA</json:string>
</affiliations>
</json:item>
<json:item><name>Moshe Y. Vardi</name>
<affiliations><json:string>Rice University, Houston, TX, USA</json:string>
</affiliations>
</json:item>
<json:item><name>Gerhard Weikum</name>
<affiliations><json:string>Max-Planck Institute of Computer Science, Saarbruecken, Germany</json:string>
</affiliations>
</json:item>
</editor>
<issn><json:string>0302-9743</json:string>
</issn>
<language><json:string>unknown</json:string>
</language>
<eissn><json:string>1611-3349</json:string>
</eissn>
<title>Lecture Notes in Computer Science</title>
<copyrightDate>2005</copyrightDate>
</serie>
<host><editor><json:item><name>Fabio Roli</name>
<affiliations><json:string>Department of Electrical and Electronic Engineering, Piazza d’Armi, University of Cagliari, 09123, Cagliari, Italy</json:string>
<json:string>E-mail: roli@diee.unica.it</json:string>
</affiliations>
</json:item>
<json:item><name>Sergio Vitulano</name>
<affiliations><json:string>Università di Cagliari,</json:string>
<json:string>E-mail: vitulano@pacs.unica.it</json:string>
</affiliations>
</json:item>
</editor>
<subject><json:item><value>Computer Science</value>
</json:item>
<json:item><value>Computer Science</value>
</json:item>
<json:item><value>Pattern Recognition</value>
</json:item>
<json:item><value>Image Processing and Computer Vision</value>
</json:item>
<json:item><value>Artificial Intelligence (incl. Robotics)</value>
</json:item>
<json:item><value>Computer Graphics</value>
</json:item>
<json:item><value>Algorithm Analysis and Problem Complexity</value>
</json:item>
</subject>
<isbn><json:string>978-3-540-28869-5</json:string>
</isbn>
<language><json:string>unknown</json:string>
</language>
<eissn><json:string>1611-3349</json:string>
</eissn>
<title>Image Analysis and Processing – ICIAP 2005</title>
<genre.original><json:string>Proceedings</json:string>
</genre.original>
<bookId><json:string>978-3-540-31866-8</json:string>
</bookId>
<volume>3617</volume>
<pages><last>49</last>
<first>37</first>
</pages>
<issn><json:string>0302-9743</json:string>
</issn>
<genre><json:string>Book Series</json:string>
</genre>
<eisbn><json:string>978-3-540-31866-8</json:string>
</eisbn>
<copyrightDate>2005</copyrightDate>
<doi><json:string>10.1007/11553595</json:string>
</doi>
</host>
<publicationDate>2005</publicationDate>
<copyrightDate>2005</copyrightDate>
<doi><json:string>10.1007/11553595_5</json:string>
</doi>
<id>ED6C553D28C60615084923FCAB4F0A5FB8FED11A</id>
<fulltext><json:item><original>true</original>
<mimetype>application/pdf</mimetype>
<extension>pdf</extension>
<uri>https://api.istex.fr/document/ED6C553D28C60615084923FCAB4F0A5FB8FED11A/fulltext/pdf</uri>
</json:item>
<json:item><original>false</original>
<mimetype>application/zip</mimetype>
<extension>zip</extension>
<uri>https://api.istex.fr/document/ED6C553D28C60615084923FCAB4F0A5FB8FED11A/fulltext/zip</uri>
</json:item>
<istex:fulltextTEI uri="https://api.istex.fr/document/ED6C553D28C60615084923FCAB4F0A5FB8FED11A/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a" type="main" xml:lang="en">Interactive, Mobile, Distributed Pattern Recognition</title>
<respStmt xml:id="ISTEX-API" resp="Références bibliographiques récupérées via GROBID" name="ISTEX-API (INIST-CNRS)"></respStmt>
</titleStmt>
<publicationStmt><authority>ISTEX</authority>
<publisher>Springer Berlin Heidelberg</publisher>
<pubPlace>Berlin, Heidelberg</pubPlace>
<availability><p>SPRINGER</p>
</availability>
<date>2005</date>
</publicationStmt>
<sourceDesc><biblStruct type="inbook"><analytic><title level="a" type="main" xml:lang="en">Interactive, Mobile, Distributed Pattern Recognition</title>
<author><persName><forename type="first">George</forename>
<surname>Nagy</surname>
</persName>
<email>nagy@ecse.rpi.edu</email>
<affiliation>DocLab, Rensselaer Polytechnic Institute, 12180, Troy, NY, USA</affiliation>
</author>
</analytic>
<monogr><title level="m">Image Analysis and Processing – ICIAP 2005</title>
<title level="m" type="sub">13th International Conference, Cagliari, Italy, September 6-8, 2005. Proceedings</title>
<idno type="pISBN">978-3-540-28869-5</idno>
<idno type="eISBN">978-3-540-31866-8</idno>
<idno type="pISSN">0302-9743</idno>
<idno type="eISSN">1611-3349</idno>
<idno type="DOI">10.1007/11553595</idno>
<idno type="BookID">978-3-540-31866-8</idno>
<idno type="BookTitleID">126473</idno>
<idno type="BookSequenceNumber">3617</idno>
<idno type="BookVolumeNumber">3617</idno>
<idno type="BookChapterCount">148</idno>
<editor><persName><forename type="first">Fabio</forename>
<surname>Roli</surname>
</persName>
<email>roli@diee.unica.it</email>
<affiliation>Department of Electrical and Electronic Engineering, Piazza d’Armi, University of Cagliari, 09123, Cagliari, Italy</affiliation>
</editor>
<editor><persName><forename type="first">Sergio</forename>
<surname>Vitulano</surname>
</persName>
<email>vitulano@pacs.unica.it</email>
<affiliation>Università di Cagliari,</affiliation>
</editor>
<imprint><publisher>Springer Berlin Heidelberg</publisher>
<pubPlace>Berlin, Heidelberg</pubPlace>
<date type="published" when="2005"></date>
<biblScope unit="volume">3617</biblScope>
<biblScope unit="page" from="37">37</biblScope>
<biblScope unit="page" to="49">49</biblScope>
</imprint>
</monogr>
<series><title level="s">Lecture Notes in Computer Science</title>
<editor><persName><forename type="first">David</forename>
<surname>Hutchison</surname>
</persName>
<affiliation>Lancaster University, UK</affiliation>
</editor>
<editor><persName><forename type="first">Takeo</forename>
<surname>Kanade</surname>
</persName>
<affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation>
</editor>
<editor><persName><forename type="first">Josef</forename>
<surname>Kittler</surname>
</persName>
<affiliation>University of Surrey, Guildford, UK</affiliation>
</editor>
<editor><persName><forename type="first">Jon</forename>
<forename type="first">M.</forename>
<surname>Kleinberg</surname>
</persName>
<affiliation>Cornell University, Ithaca, NY, USA</affiliation>
</editor>
<editor><persName><forename type="first">Friedemann</forename>
<surname>Mattern</surname>
</persName>
<affiliation>ETH Zurich, Switzerland</affiliation>
</editor>
<editor><persName><forename type="first">John</forename>
<forename type="first">C.</forename>
<surname>Mitchell</surname>
</persName>
<affiliation>Stanford University, CA, USA</affiliation>
</editor>
<editor><persName><forename type="first">Moni</forename>
<surname>Naor</surname>
</persName>
<affiliation>Weizmann Institute of Science, Rehovot, Israel</affiliation>
</editor>
<editor><persName><forename type="first">Oscar</forename>
<surname>Nierstrasz</surname>
</persName>
<affiliation>University of Bern, Switzerland</affiliation>
</editor>
<editor><persName><forename type="first">C.</forename>
<surname>Pandu Rangan</surname>
</persName>
<affiliation>Indian Institute of Technology, Madras, India</affiliation>
</editor>
<editor><persName><forename type="first">Bernhard</forename>
<surname>Steffen</surname>
</persName>
<affiliation>University of Dortmund, Germany</affiliation>
</editor>
<editor><persName><forename type="first">Madhu</forename>
<surname>Sudan</surname>
</persName>
<affiliation>Massachusetts Institute of Technology, MA, USA</affiliation>
</editor>
<editor><persName><forename type="first">Demetri</forename>
<surname>Terzopoulos</surname>
</persName>
<affiliation>New York University, NY, USA</affiliation>
</editor>
<editor><persName><forename type="first">Dough</forename>
<surname>Tygar</surname>
</persName>
<affiliation>University of California, Berkeley, CA, USA</affiliation>
</editor>
<editor><persName><forename type="first">Moshe</forename>
<forename type="first">Y.</forename>
<surname>Vardi</surname>
</persName>
<affiliation>Rice University, Houston, TX, USA</affiliation>
</editor>
<editor><persName><forename type="first">Gerhard</forename>
<surname>Weikum</surname>
</persName>
<affiliation>Max-Planck Institute of Computer Science, Saarbruecken, Germany</affiliation>
</editor>
<biblScope><date>2005</date>
</biblScope>
<idno type="pISSN">0302-9743</idno>
<idno type="eISSN">1611-3349</idno>
<idno type="seriesId">558</idno>
</series>
<idno type="istex">ED6C553D28C60615084923FCAB4F0A5FB8FED11A</idno>
<idno type="DOI">10.1007/11553595_5</idno>
<idno type="ChapterID">5</idno>
<idno type="ChapterID">Chap5</idno>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><creation><date>2005</date>
</creation>
<langUsage><language ident="en">en</language>
</langUsage>
<abstract xml:lang="en"><p>Abstract: As the accuracy of conventional classifiers, based only on a static partitioning of feature space, appears to be approaching a limit, it may be useful to consider alternative approaches. Interactive classification is often more accurate then algorithmic classification, and requires less time than the unaided human. It is more suitable for the recognition of natural patterns in a narrow domain like trees, weeds or faces than for symbolic patterns like letters and phonemes. On the other hand, symbolic patterns lend themselves better to using context and style to recognize entire fields instead of individual patterns. Algorithmic learning and adaptation is facilitated by accurate statistics gleaned from large samples in the case of symbolic patterns, and by skilled human judgment in the case of natural patterns. Recent technological advances like pocket computers, camera phones and wireless networks will have greater influence on mobile, distributed, interactive recognition of natural patterns than on conventional high-volume applications like mail sorting , check reading or forms processing.</p>
</abstract>
<textClass><keywords scheme="Book Subject Collection"><list><label>SUCO11645</label>
<item><term>Computer Science</term>
</item>
</list>
</keywords>
</textClass>
<textClass><keywords scheme="Book Subject Group"><list><label>I</label>
<label>I2203X</label>
<label>I22021</label>
<label>I21017</label>
<label>I22013</label>
<label>I16021</label>
<item><term>Computer Science</term>
</item>
<item><term>Pattern Recognition</term>
</item>
<item><term>Image Processing and Computer Vision</term>
</item>
<item><term>Artificial Intelligence (incl. Robotics)</term>
</item>
<item><term>Computer Graphics</term>
</item>
<item><term>Algorithm Analysis and Problem Complexity</term>
</item>
</list>
</keywords>
</textClass>
</profileDesc>
<revisionDesc><change when="2005">Published</change>
<change xml:id="refBibs-istex" who="#ISTEX-API" when="2016-3-20">References added</change>
</revisionDesc>
</teiHeader>
</istex:fulltextTEI>
<json:item><original>false</original>
<mimetype>text/plain</mimetype>
<extension>txt</extension>
<uri>https://api.istex.fr/document/ED6C553D28C60615084923FCAB4F0A5FB8FED11A/fulltext/txt</uri>
</json:item>
</fulltext>
<metadata><istex:metadataXml wicri:clean="Springer, Publisher found" wicri:toSee="no header"><istex:xmlDeclaration>version="1.0" encoding="UTF-8"</istex:xmlDeclaration>
<istex:docType PUBLIC="-//Springer-Verlag//DTD A++ V2.4//EN" URI="http://devel.springer.de/A++/V2.4/DTD/A++V2.4.dtd" name="istex:docType"></istex:docType>
<istex:document><Publisher><PublisherInfo><PublisherName>Springer Berlin Heidelberg</PublisherName>
<PublisherLocation>Berlin, Heidelberg</PublisherLocation>
</PublisherInfo>
<Series><SeriesInfo SeriesType="Series" TocLevels="0"><SeriesID>558</SeriesID>
<SeriesPrintISSN>0302-9743</SeriesPrintISSN>
<SeriesElectronicISSN>1611-3349</SeriesElectronicISSN>
<SeriesTitle Language="En">Lecture Notes in Computer Science</SeriesTitle>
</SeriesInfo>
<SeriesHeader><EditorGroup><Editor AffiliationIDS="Aff1"><EditorName DisplayOrder="Western"><GivenName>David</GivenName>
<FamilyName>Hutchison</FamilyName>
</EditorName>
</Editor>
<Editor AffiliationIDS="Aff2"><EditorName DisplayOrder="Western"><GivenName>Takeo</GivenName>
<FamilyName>Kanade</FamilyName>
</EditorName>
</Editor>
<Editor AffiliationIDS="Aff3"><EditorName DisplayOrder="Western"><GivenName>Josef</GivenName>
<FamilyName>Kittler</FamilyName>
</EditorName>
</Editor>
<Editor AffiliationIDS="Aff4"><EditorName DisplayOrder="Western"><GivenName>Jon</GivenName>
<GivenName>M.</GivenName>
<FamilyName>Kleinberg</FamilyName>
</EditorName>
</Editor>
<Editor AffiliationIDS="Aff5"><EditorName DisplayOrder="Western"><GivenName>Friedemann</GivenName>
<FamilyName>Mattern</FamilyName>
</EditorName>
</Editor>
<Editor AffiliationIDS="Aff6"><EditorName DisplayOrder="Western"><GivenName>John</GivenName>
<GivenName>C.</GivenName>
<FamilyName>Mitchell</FamilyName>
</EditorName>
</Editor>
<Editor AffiliationIDS="Aff7"><EditorName DisplayOrder="Western"><GivenName>Moni</GivenName>
<FamilyName>Naor</FamilyName>
</EditorName>
</Editor>
<Editor AffiliationIDS="Aff8"><EditorName DisplayOrder="Western"><GivenName>Oscar</GivenName>
<FamilyName>Nierstrasz</FamilyName>
</EditorName>
</Editor>
<Editor AffiliationIDS="Aff9"><EditorName DisplayOrder="Western"><GivenName>C.</GivenName>
<FamilyName>Pandu Rangan</FamilyName>
</EditorName>
</Editor>
<Editor AffiliationIDS="Aff10"><EditorName DisplayOrder="Western"><GivenName>Bernhard</GivenName>
<FamilyName>Steffen</FamilyName>
</EditorName>
</Editor>
<Editor AffiliationIDS="Aff11"><EditorName DisplayOrder="Western"><GivenName>Madhu</GivenName>
<FamilyName>Sudan</FamilyName>
</EditorName>
</Editor>
<Editor AffiliationIDS="Aff12"><EditorName DisplayOrder="Western"><GivenName>Demetri</GivenName>
<FamilyName>Terzopoulos</FamilyName>
</EditorName>
</Editor>
<Editor AffiliationIDS="Aff13"><EditorName DisplayOrder="Western"><GivenName>Dough</GivenName>
<FamilyName>Tygar</FamilyName>
</EditorName>
</Editor>
<Editor AffiliationIDS="Aff14"><EditorName DisplayOrder="Western"><GivenName>Moshe</GivenName>
<GivenName>Y.</GivenName>
<FamilyName>Vardi</FamilyName>
</EditorName>
</Editor>
<Editor AffiliationIDS="Aff15"><EditorName DisplayOrder="Western"><GivenName>Gerhard</GivenName>
<FamilyName>Weikum</FamilyName>
</EditorName>
</Editor>
<Affiliation ID="Aff1"><OrgName>Lancaster University</OrgName>
<OrgAddress><Country>UK</Country>
</OrgAddress>
</Affiliation>
<Affiliation ID="Aff2"><OrgName>Carnegie Mellon University</OrgName>
<OrgAddress><City>Pittsburgh</City>
<State>PA</State>
<Country>USA</Country>
</OrgAddress>
</Affiliation>
<Affiliation ID="Aff3"><OrgName>University of Surrey</OrgName>
<OrgAddress><City>Guildford</City>
<Country>UK</Country>
</OrgAddress>
</Affiliation>
<Affiliation ID="Aff4"><OrgName>Cornell University</OrgName>
<OrgAddress><City>Ithaca</City>
<State>NY</State>
<Country>USA</Country>
</OrgAddress>
</Affiliation>
<Affiliation ID="Aff5"><OrgName>ETH Zurich</OrgName>
<OrgAddress><Country>Switzerland</Country>
</OrgAddress>
</Affiliation>
<Affiliation ID="Aff6"><OrgName>Stanford University</OrgName>
<OrgAddress><City>CA</City>
<Country>USA</Country>
</OrgAddress>
</Affiliation>
<Affiliation ID="Aff7"><OrgName>Weizmann Institute of Science</OrgName>
<OrgAddress><City>Rehovot</City>
<Country>Israel</Country>
</OrgAddress>
</Affiliation>
<Affiliation ID="Aff8"><OrgName>University of Bern</OrgName>
<OrgAddress><Country>Switzerland</Country>
</OrgAddress>
</Affiliation>
<Affiliation ID="Aff9"><OrgName>Indian Institute of Technology</OrgName>
<OrgAddress><City>Madras</City>
<Country>India</Country>
</OrgAddress>
</Affiliation>
<Affiliation ID="Aff10"><OrgName>University of Dortmund</OrgName>
<OrgAddress><Country>Germany</Country>
</OrgAddress>
</Affiliation>
<Affiliation ID="Aff11"><OrgName>Massachusetts Institute of Technology</OrgName>
<OrgAddress><City>MA</City>
<Country>USA</Country>
</OrgAddress>
</Affiliation>
<Affiliation ID="Aff12"><OrgName>New York University</OrgName>
<OrgAddress><City>NY</City>
<Country>USA</Country>
</OrgAddress>
</Affiliation>
<Affiliation ID="Aff13"><OrgName>University of California</OrgName>
<OrgAddress><City>Berkeley</City>
<State>CA</State>
<Country>USA</Country>
</OrgAddress>
</Affiliation>
<Affiliation ID="Aff14"><OrgName>Rice University</OrgName>
<OrgAddress><City>Houston</City>
<State>TX</State>
<Country>USA</Country>
</OrgAddress>
</Affiliation>
<Affiliation ID="Aff15"><OrgName>Max-Planck Institute of Computer Science</OrgName>
<OrgAddress><City>Saarbruecken</City>
<Country>Germany</Country>
</OrgAddress>
</Affiliation>
</EditorGroup>
</SeriesHeader>
<Book Language="En"><BookInfo BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingDepth="2" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="0"><BookID>978-3-540-31866-8</BookID>
<BookTitle>Image Analysis and Processing – ICIAP 2005</BookTitle>
<BookSubTitle>13th International Conference, Cagliari, Italy, September 6-8, 2005. Proceedings</BookSubTitle>
<BookVolumeNumber>3617</BookVolumeNumber>
<BookSequenceNumber>3617</BookSequenceNumber>
<BookDOI>10.1007/11553595</BookDOI>
<BookTitleID>126473</BookTitleID>
<BookPrintISBN>978-3-540-28869-5</BookPrintISBN>
<BookElectronicISBN>978-3-540-31866-8</BookElectronicISBN>
<BookChapterCount>148</BookChapterCount>
<BookCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName>
<CopyrightYear>2005</CopyrightYear>
</BookCopyright>
<BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject>
<BookSubject Code="I2203X" Priority="1" Type="Secondary">Pattern Recognition</BookSubject>
<BookSubject Code="I22021" Priority="2" Type="Secondary">Image Processing and Computer Vision</BookSubject>
<BookSubject Code="I21017" Priority="3" Type="Secondary">Artificial Intelligence (incl. Robotics)</BookSubject>
<BookSubject Code="I22013" Priority="4" Type="Secondary">Computer Graphics</BookSubject>
<BookSubject Code="I16021" Priority="5" Type="Secondary">Algorithm Analysis and Problem Complexity</BookSubject>
<SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection>
</BookSubjectGroup>
<BookContext><SeriesID>558</SeriesID>
</BookContext>
</BookInfo>
<BookHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Fabio</GivenName>
<FamilyName>Roli</FamilyName>
</EditorName>
<Contact><Email>roli@diee.unica.it</Email>
</Contact>
</Editor>
<Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Sergio</GivenName>
<FamilyName>Vitulano</FamilyName>
</EditorName>
<Contact><Email>vitulano@pacs.unica.it</Email>
</Contact>
</Editor>
<Affiliation ID="Aff16"><OrgDivision>Department of Electrical and Electronic Engineering, Piazza d’Armi</OrgDivision>
<OrgName>University of Cagliari</OrgName>
<OrgAddress><Postcode>09123</Postcode>
<City>Cagliari</City>
<Country>Italy</Country>
</OrgAddress>
</Affiliation>
<Affiliation ID="Aff17"><OrgName>Università di Cagliari</OrgName>
<OrgAddress><Country> </Country>
</OrgAddress>
</Affiliation>
</EditorGroup>
</BookHeader>
<Part ID="Part1"><PartInfo TocLevels="0"><PartID>1</PartID>
<PartSequenceNumber>1</PartSequenceNumber>
<PartTitle>Invited Papers</PartTitle>
<PartChapterCount>5</PartChapterCount>
<PartContext><SeriesID>558</SeriesID>
<BookTitle>Image Analysis and Processing – ICIAP 2005</BookTitle>
</PartContext>
</PartInfo>
<Chapter ID="Chap5" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>5</ChapterID>
<ChapterDOI>10.1007/11553595_5</ChapterDOI>
<ChapterSequenceNumber>5</ChapterSequenceNumber>
<ChapterTitle Language="En">Interactive, Mobile, Distributed Pattern Recognition</ChapterTitle>
<ChapterFirstPage>37</ChapterFirstPage>
<ChapterLastPage>49</ChapterLastPage>
<ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName>
<CopyrightYear>2005</CopyrightYear>
</ChapterCopyright>
<ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant>
<AbstractGrant Grant="OpenAccess"></AbstractGrant>
<BodyPDFGrant Grant="Restricted"></BodyPDFGrant>
<BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant>
<BibliographyGrant Grant="Restricted"></BibliographyGrant>
<ESMGrant Grant="Restricted"></ESMGrant>
</ChapterGrants>
<ChapterContext><SeriesID>558</SeriesID>
<PartID>1</PartID>
<BookID>978-3-540-31866-8</BookID>
<BookTitle>Image Analysis and Processing – ICIAP 2005</BookTitle>
</ChapterContext>
</ChapterInfo>
<ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff18"><AuthorName DisplayOrder="Western"><GivenName>George</GivenName>
<FamilyName>Nagy</FamilyName>
</AuthorName>
<Contact><Email>nagy@ecse.rpi.edu</Email>
</Contact>
</Author>
<Affiliation ID="Aff18"><OrgDivision>DocLab</OrgDivision>
<OrgName>Rensselaer Polytechnic Institute</OrgName>
<OrgAddress><City>Troy</City>
<State>NY</State>
<Postcode>12180</Postcode>
<Country>USA</Country>
</OrgAddress>
</Affiliation>
</AuthorGroup>
<Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading>
<Para>As the accuracy of conventional classifiers, based only on a static partitioning of feature space, appears to be approaching a limit, it may be useful to consider alternative approaches. Interactive classification is often more accurate then algorithmic classification, and requires less time than the unaided human. It is more suitable for the recognition of natural patterns in a narrow domain like trees, weeds or faces than for symbolic patterns like letters and phonemes. On the other hand, symbolic patterns lend themselves better to using context and style to recognize entire fields instead of individual patterns. Algorithmic learning and adaptation is facilitated by accurate statistics gleaned from large samples in the case of symbolic patterns, and by skilled human judgment in the case of natural patterns. Recent technological advances like pocket computers, camera phones and wireless networks will have greater influence on mobile, distributed, interactive recognition of natural patterns than on conventional high-volume applications like mail sorting , check reading or forms processing.</Para>
</Abstract>
</ChapterHeader>
<NoBody></NoBody>
</Chapter>
</Part>
</Book>
</Series>
</Publisher>
</istex:document>
</istex:metadataXml>
<mods version="3.6"><titleInfo lang="en"><title>Interactive, Mobile, Distributed Pattern Recognition</title>
</titleInfo>
<titleInfo type="alternative" contentType="CDATA" lang="en"><title>Interactive, Mobile, Distributed Pattern Recognition</title>
</titleInfo>
<name type="personal"><namePart type="given">George</namePart>
<namePart type="family">Nagy</namePart>
<affiliation>DocLab, Rensselaer Polytechnic Institute, 12180, Troy, NY, USA</affiliation>
<affiliation>E-mail: nagy@ecse.rpi.edu</affiliation>
<role><roleTerm type="text">author</roleTerm>
</role>
</name>
<typeOfResource>text</typeOfResource>
<genre type="conference [eBooks]" displayLabel="OriginalPaper"></genre>
<originInfo><publisher>Springer Berlin Heidelberg</publisher>
<place><placeTerm type="text">Berlin, Heidelberg</placeTerm>
</place>
<dateIssued encoding="w3cdtf">2005</dateIssued>
<copyrightDate encoding="w3cdtf">2005</copyrightDate>
</originInfo>
<language><languageTerm type="code" authority="rfc3066">en</languageTerm>
<languageTerm type="code" authority="iso639-2b">eng</languageTerm>
</language>
<physicalDescription><internetMediaType>text/html</internetMediaType>
</physicalDescription>
<abstract lang="en">Abstract: As the accuracy of conventional classifiers, based only on a static partitioning of feature space, appears to be approaching a limit, it may be useful to consider alternative approaches. Interactive classification is often more accurate then algorithmic classification, and requires less time than the unaided human. It is more suitable for the recognition of natural patterns in a narrow domain like trees, weeds or faces than for symbolic patterns like letters and phonemes. On the other hand, symbolic patterns lend themselves better to using context and style to recognize entire fields instead of individual patterns. Algorithmic learning and adaptation is facilitated by accurate statistics gleaned from large samples in the case of symbolic patterns, and by skilled human judgment in the case of natural patterns. Recent technological advances like pocket computers, camera phones and wireless networks will have greater influence on mobile, distributed, interactive recognition of natural patterns than on conventional high-volume applications like mail sorting , check reading or forms processing.</abstract>
<relatedItem type="host"><titleInfo><title>Image Analysis and Processing – ICIAP 2005</title>
<subTitle>13th International Conference, Cagliari, Italy, September 6-8, 2005. Proceedings</subTitle>
</titleInfo>
<name type="personal"><namePart type="given">Fabio</namePart>
<namePart type="family">Roli</namePart>
<affiliation>Department of Electrical and Electronic Engineering, Piazza d’Armi, University of Cagliari, 09123, Cagliari, Italy</affiliation>
<affiliation>E-mail: roli@diee.unica.it</affiliation>
<role><roleTerm type="text">editor</roleTerm>
</role>
</name>
<name type="personal"><namePart type="given">Sergio</namePart>
<namePart type="family">Vitulano</namePart>
<affiliation>Università di Cagliari</affiliation>
<affiliation>E-mail: vitulano@pacs.unica.it</affiliation>
<role><roleTerm type="text">editor</roleTerm>
</role>
</name>
<genre type="Book Series" displayLabel="Proceedings"></genre>
<originInfo><copyrightDate encoding="w3cdtf">2005</copyrightDate>
<issuance>monographic</issuance>
</originInfo>
<subject><genre>Book Subject Collection</genre>
<topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic>
</subject>
<subject><genre>Book Subject Group</genre>
<topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic>
<topic authority="SpringerSubjectCodes" authorityURI="I2203X">Pattern Recognition</topic>
<topic authority="SpringerSubjectCodes" authorityURI="I22021">Image Processing and Computer Vision</topic>
<topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. Robotics)</topic>
<topic authority="SpringerSubjectCodes" authorityURI="I22013">Computer Graphics</topic>
<topic authority="SpringerSubjectCodes" authorityURI="I16021">Algorithm Analysis and Problem Complexity</topic>
</subject>
<identifier type="DOI">10.1007/11553595</identifier>
<identifier type="ISBN">978-3-540-28869-5</identifier>
<identifier type="eISBN">978-3-540-31866-8</identifier>
<identifier type="ISSN">0302-9743</identifier>
<identifier type="eISSN">1611-3349</identifier>
<identifier type="BookTitleID">126473</identifier>
<identifier type="BookID">978-3-540-31866-8</identifier>
<identifier type="BookChapterCount">148</identifier>
<identifier type="BookVolumeNumber">3617</identifier>
<identifier type="BookSequenceNumber">3617</identifier>
<identifier type="PartChapterCount">5</identifier>
<part><date>2005</date>
<detail type="part"><title>Invited Papers</title>
</detail>
<detail type="volume"><number>3617</number>
<caption>vol.</caption>
</detail>
<extent unit="pages"><start>37</start>
<end>49</end>
</extent>
</part>
<recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2005</recordOrigin>
</recordInfo>
</relatedItem>
<relatedItem type="series"><titleInfo><title>Lecture Notes in Computer Science</title>
</titleInfo>
<name type="personal"><namePart type="given">David</namePart>
<namePart type="family">Hutchison</namePart>
<affiliation>Lancaster University, UK</affiliation>
<role><roleTerm type="text">editor</roleTerm>
</role>
</name>
<name type="personal"><namePart type="given">Takeo</namePart>
<namePart type="family">Kanade</namePart>
<affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation>
<role><roleTerm type="text">editor</roleTerm>
</role>
</name>
<name type="personal"><namePart type="given">Josef</namePart>
<namePart type="family">Kittler</namePart>
<affiliation>University of Surrey, Guildford, UK</affiliation>
<role><roleTerm type="text">editor</roleTerm>
</role>
</name>
<name type="personal"><namePart type="given">Jon</namePart>
<namePart type="given">M.</namePart>
<namePart type="family">Kleinberg</namePart>
<affiliation>Cornell University, Ithaca, NY, USA</affiliation>
<role><roleTerm type="text">editor</roleTerm>
</role>
</name>
<name type="personal"><namePart type="given">Friedemann</namePart>
<namePart type="family">Mattern</namePart>
<affiliation>ETH Zurich, Switzerland</affiliation>
<role><roleTerm type="text">editor</roleTerm>
</role>
</name>
<name type="personal"><namePart type="given">John</namePart>
<namePart type="given">C.</namePart>
<namePart type="family">Mitchell</namePart>
<affiliation>Stanford University, CA, USA</affiliation>
<role><roleTerm type="text">editor</roleTerm>
</role>
</name>
<name type="personal"><namePart type="given">Moni</namePart>
<namePart type="family">Naor</namePart>
<affiliation>Weizmann Institute of Science, Rehovot, Israel</affiliation>
<role><roleTerm type="text">editor</roleTerm>
</role>
</name>
<name type="personal"><namePart type="given">Oscar</namePart>
<namePart type="family">Nierstrasz</namePart>
<affiliation>University of Bern, Switzerland</affiliation>
<role><roleTerm type="text">editor</roleTerm>
</role>
</name>
<name type="personal"><namePart type="given">C.</namePart>
<namePart type="family">Pandu Rangan</namePart>
<affiliation>Indian Institute of Technology, Madras, India</affiliation>
<role><roleTerm type="text">editor</roleTerm>
</role>
</name>
<name type="personal"><namePart type="given">Bernhard</namePart>
<namePart type="family">Steffen</namePart>
<affiliation>University of Dortmund, Germany</affiliation>
<role><roleTerm type="text">editor</roleTerm>
</role>
</name>
<name type="personal"><namePart type="given">Madhu</namePart>
<namePart type="family">Sudan</namePart>
<affiliation>Massachusetts Institute of Technology, MA, USA</affiliation>
<role><roleTerm type="text">editor</roleTerm>
</role>
</name>
<name type="personal"><namePart type="given">Demetri</namePart>
<namePart type="family">Terzopoulos</namePart>
<affiliation>New York University, NY, USA</affiliation>
<role><roleTerm type="text">editor</roleTerm>
</role>
</name>
<name type="personal"><namePart type="given">Dough</namePart>
<namePart type="family">Tygar</namePart>
<affiliation>University of California, Berkeley, CA, USA</affiliation>
<role><roleTerm type="text">editor</roleTerm>
</role>
</name>
<name type="personal"><namePart type="given">Moshe</namePart>
<namePart type="given">Y.</namePart>
<namePart type="family">Vardi</namePart>
<affiliation>Rice University, Houston, TX, USA</affiliation>
<role><roleTerm type="text">editor</roleTerm>
</role>
</name>
<name type="personal"><namePart type="given">Gerhard</namePart>
<namePart type="family">Weikum</namePart>
<affiliation>Max-Planck Institute of Computer Science, Saarbruecken, Germany</affiliation>
<role><roleTerm type="text">editor</roleTerm>
</role>
</name>
<originInfo><copyrightDate encoding="w3cdtf">2005</copyrightDate>
<issuance>serial</issuance>
</originInfo>
<identifier type="ISSN">0302-9743</identifier>
<identifier type="eISSN">1611-3349</identifier>
<identifier type="SeriesID">558</identifier>
<recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2005</recordOrigin>
</recordInfo>
</relatedItem>
<identifier type="istex">ED6C553D28C60615084923FCAB4F0A5FB8FED11A</identifier>
<identifier type="DOI">10.1007/11553595_5</identifier>
<identifier type="ChapterID">5</identifier>
<identifier type="ChapterID">Chap5</identifier>
<accessCondition type="use and reproduction" contentType="copyright">Springer-Verlag Berlin Heidelberg, 2005</accessCondition>
<recordInfo><recordContentSource>SPRINGER</recordContentSource>
<recordOrigin>Springer-Verlag Berlin Heidelberg, 2005</recordOrigin>
</recordInfo>
</mods>
</metadata>
<enrichments><istex:refBibTEI uri="https://api.istex.fr/document/ED6C553D28C60615084923FCAB4F0A5FB8FED11A/enrichments/refBib"><teiHeader></teiHeader>
<text><front></front>
<body></body>
<back><listBibl><biblStruct xml:id="b0"><analytic><title level="a" type="main">Hamei Jiang collected pictures of fruit, stamps, coins and Han characters for the early CAVIAR experiments. Greenie Cheng and Laura Derby photographed many flowers and helped build the database Borjan Gagoski recruited subjects, conducted the 30 flower recognition experiments, and compiled the results</title>
<author><persName><forename type="first">Jie</forename>
<surname>Dr</surname>
</persName>
</author>
<author><persName><surname>Zou</surname>
</persName>
</author>
</analytic>
<monogr><title level="m">Dr. Richard Mitchell (NY State Botanist) and Prof</title>
<meeting><address><addrLine>Lincoln, NE</addrLine>
</address>
</meeting>
<imprint><publisher>Rebecca Seth (City Naturalist</publisher>
</imprint>
</monogr>
<note>Robert. Ingalls (RPI CS Dept) gave us valuable</note>
</biblStruct>
<biblStruct xml:id="b1"><analytic><title level="a" type="main">Teaching a computer to read The Hague</title>
<author><persName><forename type="first">G</forename>
<surname>Nagy</surname>
</persName>
</author>
</analytic>
<monogr><title level="m">Procs. Int'l Conf. Pattern Recognition (ICPR XI)</title>
<meeting>s. Int'l Conf. Pattern Recognition (ICPR XI)</meeting>
<imprint><date type="published" when="1992-08"></date>
<biblScope unit="page" from="225" to="229"></biblScope>
</imprint>
</monogr>
</biblStruct>
<biblStruct xml:id="b2"><analytic><title level="a" type="main">Style consistent classification of isogenous patterns</title>
<author><persName><forename type="first">P</forename>
<surname>Sarkar</surname>
</persName>
</author>
<author><persName><forename type="first">G</forename>
<surname>Nagy</surname>
</persName>
</author>
</analytic>
<monogr><title level="j">IEEE Trans. PAMI</title>
<imprint><biblScope unit="volume">27</biblScope>
<biblScope unit="issue">1</biblScope>
<biblScope unit="page" from="88" to="98"></biblScope>
<date type="published" when="2005-01"></date>
</imprint>
</monogr>
</biblStruct>
<biblStruct xml:id="b3"><analytic><title level="a" type="main">Style context with second order statistics</title>
<author><persName><forename type="first">S</forename>
<surname>Veeramachaneni</surname>
</persName>
</author>
<author><persName><forename type="first">G</forename>
<surname>Nagy</surname>
</persName>
</author>
</analytic>
<monogr><title level="j">IEEE Trans. PAMI</title>
<imprint><biblScope unit="volume">27</biblScope>
<biblScope unit="issue">1</biblScope>
<biblScope unit="page" from="14" to="22"></biblScope>
<date type="published" when="2005-01"></date>
</imprint>
</monogr>
</biblStruct>
<biblStruct xml:id="b4"><analytic><title level="a" type="main">A quantitative categorization of phonemic dialect features in context</title>
<author><persName><forename type="first">N</forename>
<surname>Nagy</surname>
</persName>
</author>
<author><persName><forename type="first">X</forename>
<surname>Zhang</surname>
</persName>
</author>
<author><persName><forename type="first">G</forename>
<surname>Nagy</surname>
</persName>
</author>
<author><persName><forename type="first">E</forename>
<forename type="middle">W</forename>
<surname>Schneider</surname>
</persName>
</author>
</analytic>
<monogr><title level="m">Procs. International Conference on Context</title>
<meeting>s. International Conference on Context<address><addrLine>Paris</addrLine>
</address>
</meeting>
<imprint><date type="published" when="2005-07"></date>
</imprint>
</monogr>
</biblStruct>
<biblStruct xml:id="b5"><monogr><title level="m" type="main">Document style census for OCR, Procs. First International Workshop on Document Image Analysis for Libraries (DIAL04)</title>
<author><persName><forename type="first">G</forename>
<surname>Nagy</surname>
</persName>
</author>
<author><persName><forename type="first">P</forename>
<surname>Sarkar</surname>
</persName>
</author>
<imprint><date type="published" when="2004-01"></date>
<publisher>IEEE Computer Society Press</publisher>
<biblScope unit="page" from="134" to="147"></biblScope>
<pubPlace>Palo Alto, CA</pubPlace>
</imprint>
</monogr>
</biblStruct>
<biblStruct xml:id="b6"><analytic><title level="a" type="main">A Ptolemaic model for OCR</title>
<author><persName><forename type="first">G</forename>
<surname>Nagy</surname>
</persName>
</author>
<author><persName><forename type="first">S</forename>
<surname>Veeramachaneni</surname>
</persName>
</author>
</analytic>
<monogr><title level="m">Procs. ICDAR-03</title>
<meeting>s. ICDAR-03<address><addrLine>Edinburgh</addrLine>
</address>
</meeting>
<imprint><date type="published" when="2003-08"></date>
<biblScope unit="page" from="1060" to="1064"></biblScope>
</imprint>
</monogr>
</biblStruct>
<biblStruct xml:id="b7"><analytic><title level="a" type="main">Visual pattern recognition in the years ahead</title>
<author><persName><forename type="first">G</forename>
<surname>Nagy</surname>
</persName>
</author>
</analytic>
<monogr><title level="j">Procs. ICPR XVII</title>
<imprint><biblScope unit="volume">IV</biblScope>
<biblScope unit="page" from="7" to="10"></biblScope>
<date type="published" when="2004-08"></date>
</imprint>
</monogr>
</biblStruct>
<biblStruct xml:id="b8"><monogr><title level="m" type="main">Simple statistics for complex features spaces, to appear in Data Complexity in Pattern Recognition</title>
<author><persName><forename type="first">G</forename>
<surname>Nagy</surname>
</persName>
</author>
<author><persName><forename type="first">X</forename>
<surname>Zhang</surname>
</persName>
</author>
<imprint><date type="published" when="2005-12"></date>
<publisher>Springer Verlag Mitra Basu & Tin Kam Ho, Publication Date</publisher>
</imprint>
</monogr>
</biblStruct>
<biblStruct xml:id="b9"><analytic><title level="a" type="main">Interactive visual pattern recognition</title>
<author><persName><forename type="first">G</forename>
<surname>Nagy</surname>
</persName>
</author>
<author><persName><forename type="first">J</forename>
<surname>Zou</surname>
</persName>
</author>
</analytic>
<monogr><title level="j">Procs. ICPR XVI</title>
<imprint><publisher>IEEE Computer Society Press</publisher>
<publisher>IEEE Computer Society Press</publisher>
<biblScope unit="volume">III</biblScope>
<biblScope unit="page" from="478" to="481"></biblScope>
<date type="published" when="2002-08"></date>
</imprint>
</monogr>
</biblStruct>
<biblStruct xml:id="b10"><analytic><title level="a" type="main">Evaluation of model-based interactive pattern recognition</title>
<author><persName><forename type="first">J</forename>
<surname>Zou</surname>
</persName>
</author>
<author><persName><forename type="first">G</forename>
<surname>Nagy</surname>
</persName>
</author>
</analytic>
<monogr><title level="j">Procs. ICPR XVII</title>
<imprint><biblScope unit="volume">II</biblScope>
<biblScope unit="page" from="311" to="314"></biblScope>
<date type="published" when="2004-08"></date>
</imprint>
</monogr>
</biblStruct>
<biblStruct xml:id="b11"><monogr><title level="m" type="main">Human-computer interaction for complex pattern recognition problems, to appear in Data Complexity in Pattern Recognition</title>
<author><persName><forename type="first">J</forename>
<surname>Zou</surname>
</persName>
</author>
<author><persName><forename type="first">G</forename>
<surname>Nagy</surname>
</persName>
</author>
<imprint><date type="published" when="2005-12"></date>
<publisher>Springer Verlag Mitra Basu & Tin Kam Ho</publisher>
</imprint>
</monogr>
</biblStruct>
<biblStruct xml:id="b12"><analytic><title></title>
<author><persName><forename type="first">A</forename>
<surname>Evans</surname>
</persName>
</author>
<author><persName><forename type="first">J</forename>
<surname>Sikorski</surname>
</persName>
</author>
<author><persName><forename type="first">P</forename>
<surname>Thomas</surname>
</persName>
</author>
<author><persName><forename type="first">S-H</forename>
<surname>Cha</surname>
</persName>
</author>
<author><persName><forename type="first">C</forename>
<surname>Tappert</surname>
</persName>
</author>
<author><persName><forename type="first">J</forename>
<surname>Zou</surname>
</persName>
</author>
<author><persName><forename type="first">A</forename>
<surname>Gattani</surname>
</persName>
</author>
<author><persName><forename type="first">G</forename>
<surname>Nagy</surname>
</persName>
</author>
</analytic>
<monogr><title level="m">Computer Assisted Visual Interactive Recognition (CAVIAR) Technology, Procs. IEEE International Conference on Electro-Information Technology</title>
<meeting><address><addrLine>Lincoln, NE</addrLine>
</address>
</meeting>
<imprint><date type="published" when="2005-03"></date>
</imprint>
</monogr>
</biblStruct>
<biblStruct xml:id="b13"><analytic><title level="a" type="main">A Model-Based Interactive Image Segmentation Procedure</title>
<author><persName><forename type="first">J</forename>
<surname>Zou</surname>
</persName>
</author>
</analytic>
<monogr><title level="j">IEEE Workshop on Applications of Computer Vision (WACV)</title>
<imprint><date type="published" when="2005-01"></date>
</imprint>
</monogr>
</biblStruct>
<biblStruct xml:id="b14"><analytic><title level="a" type="main">Self-Corrective Character Recognition System</title>
<author><persName><forename type="first">G</forename>
<surname>Nagy</surname>
</persName>
</author>
<author><persName><forename type="first">G</forename>
<forename type="middle">L</forename>
<surname>Shelton</surname>
</persName>
</author>
</analytic>
<monogr><title level="j">IEEE Transactions on Information Theory IT-12</title>
<imprint><biblScope unit="volume">2</biblScope>
<biblScope unit="page" from="215" to="222"></biblScope>
<date type="published" when="1966-04"></date>
</imprint>
</monogr>
</biblStruct>
<biblStruct xml:id="b15"><analytic><title level="a" type="main">A Self-correcting 100-font Classifier</title>
<author><persName><forename type="first">H</forename>
<forename type="middle">S</forename>
<surname>Baird</surname>
</persName>
</author>
<author><persName><forename type="first">G</forename>
<surname>Nagy</surname>
</persName>
</author>
</analytic>
<monogr><title level="m">Proc. SPIE Conference on Document Recognition</title>
<meeting>. SPIE Conference on Document Recognition<address><addrLine>San Jose, CA</addrLine>
</address>
</meeting>
<imprint><date type="published" when="1994-02"></date>
<biblScope unit="page" from="106" to="115"></biblScope>
</imprint>
</monogr>
</biblStruct>
<biblStruct xml:id="b16"><monogr><title level="m" type="main">Adaptive classifiers for multi-source OCR</title>
<author><persName><forename type="first">S</forename>
<surname>Veeramachaneni</surname>
</persName>
</author>
<author><persName><forename type="first">G</forename>
<surname>Nagy</surname>
</persName>
</author>
<imprint><date type="published" when="2004-03"></date>
<biblScope unit="page" from="154" to="166"></biblScope>
</imprint>
</monogr>
</biblStruct>
<biblStruct xml:id="b17"><monogr><title level="m" type="main">Classifiers that improve with use, Procs. Conference on Pattern Recognition and Multimedia</title>
<author><persName><forename type="first">G</forename>
<surname>Nagy</surname>
</persName>
</author>
<imprint><date type="published" when="2004-02"></date>
<publisher>IEICE</publisher>
<biblScope unit="page" from="79" to="86"></biblScope>
<pubPlace>Tokyo</pubPlace>
</imprint>
</monogr>
</biblStruct>
<biblStruct xml:id="b18"><analytic><title></title>
<author><persName><forename type="first">A</forename>
<surname>Gattani</surname>
</persName>
</author>
</analytic>
<monogr><title level="m">Mobile Interactive Visual Pattern Recognition, MS thesis</title>
<imprint><publisher>Rensselaer Polytechnic Institute</publisher>
<date type="published" when="2004-12"></date>
</imprint>
</monogr>
</biblStruct>
<biblStruct xml:id="b19"><analytic><title level="a" type="main">Fostering a Symbiotic Handheld Environment</title>
<author><persName><forename type="first">M</forename>
<surname>Raghunath</surname>
</persName>
</author>
<author><persName><forename type="first">C</forename>
<surname>Narayanaswami</surname>
</persName>
</author>
<author><persName><forename type="first">C</forename>
<surname>Pinhanez</surname>
</persName>
</author>
</analytic>
<monogr><title level="j">IEEE Computer</title>
<imprint><biblScope unit="page" from="56" to="65"></biblScope>
<date type="published" when="2004-09"></date>
</imprint>
</monogr>
</biblStruct>
<biblStruct xml:id="b20"><analytic><title level="a" type="main">Computer Assisted Visual InterActive Recognition and Its Prospects of Implementation Over the Internet</title>
<author><persName><forename type="first">J</forename>
<surname>Zou</surname>
</persName>
</author>
<author><persName><forename type="first">A</forename>
<surname>Gattani</surname>
</persName>
</author>
</analytic>
<monogr><title level="m">IS&T/SPIE 17th Annual Symposium Electronic Imaging, Internet Imaging VI</title>
<imprint><date type="published" when="2005"></date>
</imprint>
</monogr>
</biblStruct>
<biblStruct xml:id="b21"><analytic><title level="a" type="main">Autonomous Reading Machine</title>
<author><persName><forename type="first">R</forename>
<forename type="middle">G</forename>
<surname>Casey</surname>
</persName>
</author>
<author><persName><forename type="first">G</forename>
<surname>Nagy</surname>
</persName>
</author>
</analytic>
<monogr><title level="j">IEEE Transactions on Computers C-17</title>
<imprint><biblScope unit="volume">5</biblScope>
<biblScope unit="page" from="492" to="503"></biblScope>
<date type="published" when="1968-03"></date>
</imprint>
</monogr>
</biblStruct>
<biblStruct xml:id="b22"><analytic><title level="a" type="main">Advances in Pattern Recognition</title>
<author><persName><forename type="first">R</forename>
<forename type="middle">G</forename>
<surname>Casey</surname>
</persName>
</author>
<author><persName><forename type="first">G</forename>
<surname>Nagy</surname>
</persName>
</author>
</analytic>
<monogr><title level="j">Scientific American</title>
<imprint><biblScope unit="volume">224</biblScope>
<biblScope unit="issue">4</biblScope>
<biblScope unit="page" from="56" to="71"></biblScope>
<date type="published" when="1971"></date>
</imprint>
</monogr>
</biblStruct>
<biblStruct xml:id="b23"><analytic><title level="a" type="main">Decoding Substitution Ciphers by means of Word Matching with Application to OCR</title>
<author><persName><forename type="first">G</forename>
<surname>Nagy</surname>
</persName>
</author>
<author><persName><forename type="first">S</forename>
<surname>Seth</surname>
</persName>
</author>
<author><persName><forename type="first">K</forename>
<surname>Einspahr</surname>
</persName>
</author>
</analytic>
<monogr><title level="j">IEEE Transactions on Pattern Analysis and Machine Intelligence</title>
<imprint><biblScope unit="volume">9</biblScope>
<biblScope unit="issue">5</biblScope>
<biblScope unit="page" from="710" to="715"></biblScope>
<date type="published" when="1987-09"></date>
</imprint>
</monogr>
</biblStruct>
<biblStruct xml:id="b24"><analytic><title level="a" type="main">OCR with no shape training</title>
<author><persName><forename type="first">T</forename>
<forename type="middle">K</forename>
<surname>Ho</surname>
</persName>
</author>
<author><persName><forename type="first">G</forename>
<surname>Nagy</surname>
</persName>
</author>
</analytic>
<monogr><title level="j">Procs. ICPR-XV</title>
<imprint><biblScope unit="volume">4</biblScope>
<biblScope unit="page" from="27" to="30"></biblScope>
<date type="published" when="2000-09"></date>
</imprint>
</monogr>
</biblStruct>
<biblStruct xml:id="b25"><analytic><title></title>
<author><persName><forename type="first">S</forename>
<surname>Veeramachaneni</surname>
</persName>
</author>
<author><persName><forename type="first">P</forename>
<surname>Sarkar</surname>
</persName>
</author>
<author><persName><forename type="first">G</forename>
<surname>Nagy</surname>
</persName>
</author>
</analytic>
<monogr><title level="m">Modeling context as statistical dependence, Procs. International Conference on Context</title>
<meeting><address><addrLine>Paris</addrLine>
</address>
</meeting>
<imprint><date type="published" when="2005-07"></date>
</imprint>
</monogr>
</biblStruct>
</listBibl>
</back>
</text>
</istex:refBibTEI>
</enrichments>
</istex>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/OcrV1/Data/Istex/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000135 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Istex/Corpus/biblio.hfd -nk 000135 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Ticri/CIDE |area= OcrV1 |flux= Istex |étape= Corpus |type= RBID |clé= ISTEX:ED6C553D28C60615084923FCAB4F0A5FB8FED11A |texte= Interactive, Mobile, Distributed Pattern Recognition }}
![]() | This area was generated with Dilib version V0.6.32. | ![]() |