A two-pass approach to pattern classification
Identifieur interne :
000487 ( PascalFrancis/Corpus );
précédent :
000486;
suivant :
000488
A two-pass approach to pattern classification
Auteurs : Subhadip Basu ;
C. Chaudhuri ;
Mahautapas Kundu ;
Mita Nasipuri ;
DIPAK KUMAR BASUSource :
-
Lecture notes in computer science [ 0302-9743 ] ; 2004.
RBID : Pascal:05-0076936
Descripteurs français
English descriptors
Abstract
A two-pass approach to pattern recognition has been described here. In this approach, an input pattern is classified by refining possible classification decisions obtained through coarse classification of the same. Coarse classification here is performed to produce a group of possible candidate classes by considering the entire input pattern, whereas the finer classification is performed to select the most appropriate one from the group by considering features only from certain group specific regions of the same. This makes search for the true pattern class in the decision space more focused or guided towards the goal by restricting the finer classification decision within a smaller group of possible candidate classes in the second pass. The technique has been successfully applied for optical character recognition (OCR) of handwritten Bengali digits. It has improved the classification rate to 93.5% in the second pass from 90.5% obtained in the first pass.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
| pA |
| A01 | 01 | 1 | | @0 0302-9743 |
|---|
| A05 | | | | @2 3316 |
|---|
| A08 | 01 | 1 | ENG | @1 A two-pass approach to pattern classification |
|---|
| A09 | 01 | 1 | ENG | @1 Neural information processing : Calcutta, 22-25 November 2004 |
|---|
| A11 | 01 | 1 | | @1 BASU (Subhadip) |
|---|
| A11 | 02 | 1 | | @1 CHAUDHURI (C.) |
|---|
| A11 | 03 | 1 | | @1 KUNDU (Mahautapas) |
|---|
| A11 | 04 | 1 | | @1 NASIPURI (Mita) |
|---|
| A11 | 05 | 1 | | @1 DIPAK KUMAR BASU |
|---|
| A12 | 01 | 1 | | @1 PAL (Nikhil R.) @9 ed. |
|---|
| A12 | 02 | 1 | | @1 KASABOV (Nikola) @9 ed. |
|---|
| A12 | 03 | 1 | | @1 MUDI (Rajani K.) @9 ed. |
|---|
| A12 | 04 | 1 | | @1 PAL (Srimanta) @9 ed. |
|---|
| A12 | 05 | 1 | | @1 PARUI (Swapan K.) @9 ed. |
|---|
| A14 | 01 | | | @1 Computer Sc. & Engg. Dept., MCKV Institute of Engineering @2 Howrah-711204 @3 IND @Z 1 aut. |
|---|
| A14 | 02 | | | @1 Computer Sc. & Engg. Dept., Jadavpur University @2 Kolkata-700032 @3 IND @Z 2 aut. @Z 3 aut. @Z 4 aut. @Z 5 aut. |
|---|
| A20 | | | | @1 781-786 |
|---|
| A21 | | | | @1 2004 |
|---|
| A23 | 01 | | | @0 ENG |
|---|
| A26 | 01 | | | @0 3-540-23931-6 |
|---|
| A43 | 01 | | | @1 INIST @2 16343 @5 354000124386291200 |
|---|
| A44 | | | | @0 0000 @1 © 2005 INIST-CNRS. All rights reserved. |
|---|
| A45 | | | | @0 7 ref. |
|---|
| A47 | 01 | 1 | | @0 05-0076936 |
|---|
| A60 | | | | @1 P @2 C |
|---|
| A61 | | | | @0 A |
|---|
| A64 | 01 | 1 | | @0 Lecture notes in computer science |
|---|
| A66 | 01 | | | @0 DEU |
|---|
| C01 | 01 | | ENG | @0 A two-pass approach to pattern recognition has been described here. In this approach, an input pattern is classified by refining possible classification decisions obtained through coarse classification of the same. Coarse classification here is performed to produce a group of possible candidate classes by considering the entire input pattern, whereas the finer classification is performed to select the most appropriate one from the group by considering features only from certain group specific regions of the same. This makes search for the true pattern class in the decision space more focused or guided towards the goal by restricting the finer classification decision within a smaller group of possible candidate classes in the second pass. The technique has been successfully applied for optical character recognition (OCR) of handwritten Bengali digits. It has improved the classification rate to 93.5% in the second pass from 90.5% obtained in the first pass. |
|---|
| C02 | 01 | X | | @0 001D02C03 |
|---|
| C03 | 01 | 3 | FRE | @0 Reconnaissance caractère manuscrit @5 01 |
|---|
| C03 | 01 | 3 | ENG | @0 Handwritten character recognition @5 01 |
|---|
| C03 | 02 | X | FRE | @0 Reconnaissance caractère @5 02 |
|---|
| C03 | 02 | X | ENG | @0 Character recognition @5 02 |
|---|
| C03 | 02 | X | SPA | @0 Reconocimiento carácter @5 02 |
|---|
| C03 | 03 | X | FRE | @0 Reconnaissance optique caractère @5 03 |
|---|
| C03 | 03 | X | ENG | @0 Optical character recognition @5 03 |
|---|
| C03 | 03 | X | SPA | @0 Reconocimento óptico de caracteres @5 03 |
|---|
| C03 | 04 | X | FRE | @0 Décision collective @5 04 |
|---|
| C03 | 04 | X | ENG | @0 Social decision @5 04 |
|---|
| C03 | 04 | X | SPA | @0 Decisión colectiva @5 04 |
|---|
| C03 | 05 | X | FRE | @0 Reconnaissance forme @5 05 |
|---|
| C03 | 05 | X | ENG | @0 Pattern recognition @5 05 |
|---|
| C03 | 05 | X | SPA | @0 Reconocimiento patrón @5 05 |
|---|
| C03 | 06 | 3 | FRE | @0 Classification forme @5 06 |
|---|
| C03 | 06 | 3 | ENG | @0 Pattern classification @5 06 |
|---|
| C03 | 07 | X | FRE | @0 Sélection forme @4 INC @5 82 |
|---|
| N21 | | | | @1 045 |
|---|
| N44 | 01 | | | @1 PSI |
|---|
| N82 | | | | @1 PSI |
|---|
|
|---|
| pR |
| A30 | 01 | 1 | ENG | @1 ICONIP 2003 : international conference on neural information processing @2 11 @3 Calcutta IND @4 2004-11-22 |
|---|
|
|---|
Format Inist (serveur)
| NO : | PASCAL 05-0076936 INIST |
|---|
| ET : | A two-pass approach to pattern classification |
|---|
| AU : | BASU (Subhadip); CHAUDHURI (C.); KUNDU (Mahautapas); NASIPURI (Mita); DIPAK KUMAR BASU; PAL (Nikhil R.); KASABOV (Nikola); MUDI (Rajani K.); PAL (Srimanta); PARUI (Swapan K.) |
|---|
| AF : | Computer Sc. & Engg. Dept., MCKV Institute of Engineering/Howrah-711204/Inde (1 aut.); Computer Sc. & Engg. Dept., Jadavpur University/Kolkata-700032/Inde (2 aut., 3 aut., 4 aut., 5 aut.) |
|---|
| DT : | Publication en série; Congrès; Niveau analytique |
|---|
| SO : | Lecture notes in computer science; ISSN 0302-9743; Allemagne; Da. 2004; Vol. 3316; Pp. 781-786; Bibl. 7 ref. |
|---|
| LA : | Anglais |
|---|
| EA : | A two-pass approach to pattern recognition has been described here. In this approach, an input pattern is classified by refining possible classification decisions obtained through coarse classification of the same. Coarse classification here is performed to produce a group of possible candidate classes by considering the entire input pattern, whereas the finer classification is performed to select the most appropriate one from the group by considering features only from certain group specific regions of the same. This makes search for the true pattern class in the decision space more focused or guided towards the goal by restricting the finer classification decision within a smaller group of possible candidate classes in the second pass. The technique has been successfully applied for optical character recognition (OCR) of handwritten Bengali digits. It has improved the classification rate to 93.5% in the second pass from 90.5% obtained in the first pass. |
|---|
| CC : | 001D02C03 |
|---|
| FD : | Reconnaissance caractère manuscrit; Reconnaissance caractère; Reconnaissance optique caractère; Décision collective; Reconnaissance forme; Classification forme; Sélection forme |
|---|
| ED : | Handwritten character recognition; Character recognition; Optical character recognition; Social decision; Pattern recognition; Pattern classification |
|---|
| SD : | Reconocimiento carácter; Reconocimento óptico de caracteres; Decisión colectiva; Reconocimiento patrón |
|---|
| LO : | INIST-16343.354000124386291200 |
|---|
| ID : | 05-0076936 |
|---|
Links to Exploration step
Pascal:05-0076936
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">A two-pass approach to pattern classification</title>
<author><name sortKey="Basu, Subhadip" sort="Basu, Subhadip" uniqKey="Basu S" first="Subhadip" last="Basu">Subhadip Basu</name>
<affiliation><inist:fA14 i1="01"><s1>Computer Sc. & Engg. Dept., MCKV Institute of Engineering</s1>
<s2>Howrah-711204</s2>
<s3>IND</s3>
<sZ>1 aut.</sZ>
</inist:fA14><author><name sortKey="Chaudhuri, C" sort="Chaudhuri, C" uniqKey="Chaudhuri C" first="C." last="Chaudhuri">C. Chaudhuri</name>
<affiliation><inist:fA14 i1="02"><s1>Computer Sc. & Engg. Dept., Jadavpur University</s1>
<s2>Kolkata-700032</s2>
<s3>IND</s3>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14><author><name sortKey="Kundu, Mahautapas" sort="Kundu, Mahautapas" uniqKey="Kundu M" first="Mahautapas" last="Kundu">Mahautapas Kundu</name>
<affiliation><inist:fA14 i1="02"><s1>Computer Sc. & Engg. Dept., Jadavpur University</s1>
<s2>Kolkata-700032</s2>
<s3>IND</s3>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14><author><name sortKey="Nasipuri, Mita" sort="Nasipuri, Mita" uniqKey="Nasipuri M" first="Mita" last="Nasipuri">Mita Nasipuri</name>
<affiliation><inist:fA14 i1="02"><s1>Computer Sc. & Engg. Dept., Jadavpur University</s1>
<s2>Kolkata-700032</s2>
<s3>IND</s3>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14><author><name sortKey="Dipak Kumar Basu" sort="Dipak Kumar Basu" uniqKey="Dipak Kumar Basu" last="Dipak Kumar Basu">DIPAK KUMAR BASU</name>
<affiliation><inist:fA14 i1="02"><s1>Computer Sc. & Engg. Dept., Jadavpur University</s1>
<s2>Kolkata-700032</s2>
<s3>IND</s3>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14><publicationStmt><idno type="wicri:source">INIST</idno>
<idno type="inist">05-0076936</idno>
<date when="2004">2004</date>
<idno type="stanalyst">PASCAL 05-0076936 INIST</idno>
<idno type="RBID">Pascal:05-0076936</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">000487</idno>
</publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">A two-pass approach to pattern classification</title>
<author><name sortKey="Basu, Subhadip" sort="Basu, Subhadip" uniqKey="Basu S" first="Subhadip" last="Basu">Subhadip Basu</name>
<affiliation><inist:fA14 i1="01"><s1>Computer Sc. & Engg. Dept., MCKV Institute of Engineering</s1>
<s2>Howrah-711204</s2>
<s3>IND</s3>
<sZ>1 aut.</sZ>
</inist:fA14><author><name sortKey="Chaudhuri, C" sort="Chaudhuri, C" uniqKey="Chaudhuri C" first="C." last="Chaudhuri">C. Chaudhuri</name>
<affiliation><inist:fA14 i1="02"><s1>Computer Sc. & Engg. Dept., Jadavpur University</s1>
<s2>Kolkata-700032</s2>
<s3>IND</s3>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14><author><name sortKey="Kundu, Mahautapas" sort="Kundu, Mahautapas" uniqKey="Kundu M" first="Mahautapas" last="Kundu">Mahautapas Kundu</name>
<affiliation><inist:fA14 i1="02"><s1>Computer Sc. & Engg. Dept., Jadavpur University</s1>
<s2>Kolkata-700032</s2>
<s3>IND</s3>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14><author><name sortKey="Nasipuri, Mita" sort="Nasipuri, Mita" uniqKey="Nasipuri M" first="Mita" last="Nasipuri">Mita Nasipuri</name>
<affiliation><inist:fA14 i1="02"><s1>Computer Sc. & Engg. Dept., Jadavpur University</s1>
<s2>Kolkata-700032</s2>
<s3>IND</s3>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14><author><name sortKey="Dipak Kumar Basu" sort="Dipak Kumar Basu" uniqKey="Dipak Kumar Basu" last="Dipak Kumar Basu">DIPAK KUMAR BASU</name>
<affiliation><inist:fA14 i1="02"><s1>Computer Sc. & Engg. Dept., Jadavpur University</s1>
<s2>Kolkata-700032</s2>
<s3>IND</s3>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14><series><title level="j" type="main">Lecture notes in computer science</title>
<idno type="ISSN">0302-9743</idno>
<imprint><date when="2004">2004</date>
</imprint><seriesStmt><title level="j" type="main">Lecture notes in computer science</title>
<idno type="ISSN">0302-9743</idno>
</seriesStmt><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Character recognition</term>
<term>Handwritten character recognition</term>
<term>Optical character recognition</term>
<term>Pattern classification</term>
<term>Pattern recognition</term>
<term>Social decision</term>
</keywords><keywords scheme="Pascal" xml:lang="fr"><term>Reconnaissance caractère manuscrit</term>
<term>Reconnaissance caractère</term>
<term>Reconnaissance optique caractère</term>
<term>Décision collective</term>
<term>Reconnaissance forme</term>
<term>Classification forme</term>
<term>Sélection forme</term>
</keywords><front><div type="abstract" xml:lang="en">A two-pass approach to pattern recognition has been described here. In this approach, an input pattern is classified by refining possible classification decisions obtained through coarse classification of the same. Coarse classification here is performed to produce a group of possible candidate classes by considering the entire input pattern, whereas the finer classification is performed to select the most appropriate one from the group by considering features only from certain group specific regions of the same. This makes search for the true pattern class in the decision space more focused or guided towards the goal by restricting the finer classification decision within a smaller group of possible candidate classes in the second pass. The technique has been successfully applied for optical character recognition (OCR) of handwritten Bengali digits. It has improved the classification rate to 93.5% in the second pass from 90.5% obtained in the first pass.</div>
</front><inist><standard h6="B"><pA><fA01 i1="01" i2="1"><s0>0302-9743</s0>
</fA01><fA05><s2>3316</s2>
</fA05><fA08 i1="01" i2="1" l="ENG"><s1>A two-pass approach to pattern classification</s1>
</fA08><fA09 i1="01" i2="1" l="ENG"><s1>Neural information processing : Calcutta, 22-25 November 2004</s1>
</fA09><fA11 i1="01" i2="1"><s1>BASU (Subhadip)</s1>
</fA11><fA11 i1="02" i2="1"><s1>CHAUDHURI (C.)</s1>
</fA11><fA11 i1="03" i2="1"><s1>KUNDU (Mahautapas)</s1>
</fA11><fA11 i1="04" i2="1"><s1>NASIPURI (Mita)</s1>
</fA11><fA11 i1="05" i2="1"><s1>DIPAK KUMAR BASU</s1>
</fA11><fA12 i1="01" i2="1"><s1>PAL (Nikhil R.)</s1>
<s9>ed.</s9>
</fA12><fA12 i1="02" i2="1"><s1>KASABOV (Nikola)</s1>
<s9>ed.</s9>
</fA12><fA12 i1="03" i2="1"><s1>MUDI (Rajani K.)</s1>
<s9>ed.</s9>
</fA12><fA12 i1="04" i2="1"><s1>PAL (Srimanta)</s1>
<s9>ed.</s9>
</fA12><fA12 i1="05" i2="1"><s1>PARUI (Swapan K.)</s1>
<s9>ed.</s9>
</fA12><fA14 i1="01"><s1>Computer Sc. & Engg. Dept., MCKV Institute of Engineering</s1>
<s2>Howrah-711204</s2>
<s3>IND</s3>
<sZ>1 aut.</sZ>
</fA14><fA14 i1="02"><s1>Computer Sc. & Engg. Dept., Jadavpur University</s1>
<s2>Kolkata-700032</s2>
<s3>IND</s3>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</fA14><fA20><s1>781-786</s1>
</fA20><fA21><s1>2004</s1>
</fA21><fA23 i1="01"><s0>ENG</s0>
</fA23><fA26 i1="01"><s0>3-540-23931-6</s0>
</fA26><fA43 i1="01"><s1>INIST</s1>
<s2>16343</s2>
<s5>354000124386291200</s5>
</fA43><fA44><s0>0000</s0>
<s1>© 2005 INIST-CNRS. All rights reserved.</s1>
</fA44><fA45><s0>7 ref.</s0>
</fA45><fA47 i1="01" i2="1"><s0>05-0076936</s0>
</fA47><fA60><s1>P</s1>
<s2>C</s2>
</fA60><fA64 i1="01" i2="1"><s0>Lecture notes in computer science</s0>
</fA64><fA66 i1="01"><s0>DEU</s0>
</fA66><fC01 i1="01" l="ENG"><s0>A two-pass approach to pattern recognition has been described here. In this approach, an input pattern is classified by refining possible classification decisions obtained through coarse classification of the same. Coarse classification here is performed to produce a group of possible candidate classes by considering the entire input pattern, whereas the finer classification is performed to select the most appropriate one from the group by considering features only from certain group specific regions of the same. This makes search for the true pattern class in the decision space more focused or guided towards the goal by restricting the finer classification decision within a smaller group of possible candidate classes in the second pass. The technique has been successfully applied for optical character recognition (OCR) of handwritten Bengali digits. It has improved the classification rate to 93.5% in the second pass from 90.5% obtained in the first pass.</s0>
</fC01><fC02 i1="01" i2="X"><s0>001D02C03</s0>
</fC02><fC03 i1="01" i2="3" l="FRE"><s0>Reconnaissance caractère manuscrit</s0>
<s5>01</s5>
</fC03><fC03 i1="01" i2="3" l="ENG"><s0>Handwritten character recognition</s0>
<s5>01</s5>
</fC03><fC03 i1="02" i2="X" l="FRE"><s0>Reconnaissance caractère</s0>
<s5>02</s5>
</fC03><fC03 i1="02" i2="X" l="ENG"><s0>Character recognition</s0>
<s5>02</s5>
</fC03><fC03 i1="02" i2="X" l="SPA"><s0>Reconocimiento carácter</s0>
<s5>02</s5>
</fC03><fC03 i1="03" i2="X" l="FRE"><s0>Reconnaissance optique caractère</s0>
<s5>03</s5>
</fC03><fC03 i1="03" i2="X" l="ENG"><s0>Optical character recognition</s0>
<s5>03</s5>
</fC03><fC03 i1="03" i2="X" l="SPA"><s0>Reconocimento óptico de caracteres</s0>
<s5>03</s5>
</fC03><fC03 i1="04" i2="X" l="FRE"><s0>Décision collective</s0>
<s5>04</s5>
</fC03><fC03 i1="04" i2="X" l="ENG"><s0>Social decision</s0>
<s5>04</s5>
</fC03><fC03 i1="04" i2="X" l="SPA"><s0>Decisión colectiva</s0>
<s5>04</s5>
</fC03><fC03 i1="05" i2="X" l="FRE"><s0>Reconnaissance forme</s0>
<s5>05</s5>
</fC03><fC03 i1="05" i2="X" l="ENG"><s0>Pattern recognition</s0>
<s5>05</s5>
</fC03><fC03 i1="05" i2="X" l="SPA"><s0>Reconocimiento patrón</s0>
<s5>05</s5>
</fC03><fC03 i1="06" i2="3" l="FRE"><s0>Classification forme</s0>
<s5>06</s5>
</fC03><fC03 i1="06" i2="3" l="ENG"><s0>Pattern classification</s0>
<s5>06</s5>
</fC03><fC03 i1="07" i2="X" l="FRE"><s0>Sélection forme</s0>
<s4>INC</s4>
<s5>82</s5>
</fC03><fN21><s1>045</s1>
</fN21><fN44 i1="01"><s1>PSI</s1>
</fN44><fN82><s1>PSI</s1>
</fN82><pR><fA30 i1="01" i2="1" l="ENG"><s1>ICONIP 2003 : international conference on neural information processing</s1>
<s2>11</s2>
<s3>Calcutta IND</s3>
<s4>2004-11-22</s4>
</fA30><server><NO>PASCAL 05-0076936 INIST</NO>
<ET>A two-pass approach to pattern classification</ET>
<AU>BASU (Subhadip); CHAUDHURI (C.); KUNDU (Mahautapas); NASIPURI (Mita); DIPAK KUMAR BASU; PAL (Nikhil R.); KASABOV (Nikola); MUDI (Rajani K.); PAL (Srimanta); PARUI (Swapan K.)</AU>
<AF>Computer Sc. & Engg. Dept., MCKV Institute of Engineering/Howrah-711204/Inde (1 aut.); Computer Sc. & Engg. Dept., Jadavpur University/Kolkata-700032/Inde (2 aut., 3 aut., 4 aut., 5 aut.)</AF>
<DT>Publication en série; Congrès; Niveau analytique</DT>
<SO>Lecture notes in computer science; ISSN 0302-9743; Allemagne; Da. 2004; Vol. 3316; Pp. 781-786; Bibl. 7 ref.</SO>
<LA>Anglais</LA>
<EA>A two-pass approach to pattern recognition has been described here. In this approach, an input pattern is classified by refining possible classification decisions obtained through coarse classification of the same. Coarse classification here is performed to produce a group of possible candidate classes by considering the entire input pattern, whereas the finer classification is performed to select the most appropriate one from the group by considering features only from certain group specific regions of the same. This makes search for the true pattern class in the decision space more focused or guided towards the goal by restricting the finer classification decision within a smaller group of possible candidate classes in the second pass. The technique has been successfully applied for optical character recognition (OCR) of handwritten Bengali digits. It has improved the classification rate to 93.5% in the second pass from 90.5% obtained in the first pass.</EA>
<CC>001D02C03</CC>
<FD>Reconnaissance caractère manuscrit; Reconnaissance caractère; Reconnaissance optique caractère; Décision collective; Reconnaissance forme; Classification forme; Sélection forme</FD>
<ED>Handwritten character recognition; Character recognition; Optical character recognition; Social decision; Pattern recognition; Pattern classification</ED>
<SD>Reconocimiento carácter; Reconocimento óptico de caracteres; Decisión colectiva; Reconocimiento patrón</SD>
<LO>INIST-16343.354000124386291200</LO>
<ID>05-0076936</ID>
</server>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/OcrV1/Data/PascalFrancis/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000487 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PascalFrancis/Corpus/biblio.hfd -nk 000487 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= OcrV1
|flux= PascalFrancis
|étape= Corpus
|type= RBID
|clé= Pascal:05-0076936
|texte= A two-pass approach to pattern classification
}}
| This area was generated with Dilib version V0.6.32.
Data generation: Sat Nov 11 16:53:45 2017. Site generation: Mon Mar 11 23:15:16 2024 |  |
