%Aigaion2 BibTeX export from Idiap Publications
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@ARTICLE{camvin01art,
         author = {Camastra, Francesco and Vinciarelli, Alessandro},
       projects = {Idiap},
          title = {Cursive Character Recognition by {L}earning {V}ector {Q}uantization},
        journal = {Pattern Recognition Letters},
         volume = {22},
         number = {6},
           year = {2001},
           note = {IDIAP-RR 00-47},
       crossref = {camvin00},
       abstract = {This paper presents a cursive character recognizer embedded in an off-line cursive script recognition system. The recognizer is composed of two modules: the first one is a feature extractor, the second one an LVQ. The selected feature set was compared to Zernike polynomials using the same classifier. Experiments are reported on a database of about 49000 isolated characters.},
            pdf = {https://publications.idiap.ch/attachments/reports/2000/rr00-47.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2000/rr00-47.ps.gz},
ipdmembership={vision},
}



crossreferenced publications: 
@TECHREPORT{camvin00,
         author = {Camastra, Francesco and Vinciarelli, Alessandro},
       projects = {Idiap},
          title = {Cursive Character Recognition by Learning Vector Quantization},
           type = {Idiap-RR},
         number = {Idiap-RR-47-2000},
           year = {2000},
    institution = {IDIAP},
           note = {Accepted for publication by Pattern Recognition Letters},
       abstract = {This paper presents a cursive character recognizer embedded in an off-line cursive script recognition system. The recognizer is composed of two modules: the first one is a feature extractor, the second one an LVQ. The selected feature set was compared to Zernike polynomials using the same classifier. Experiments are reported on a database of about 49000 isolated characters.},
            pdf = {https://publications.idiap.ch/attachments/reports/2000/rr00-47.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2000/rr00-47.ps.gz},
ipdmembership={vision},
}