%Aigaion2 BibTeX export from Idiap Publications
%Thursday 21 November 2024 12:49:46 PM

@ARTICLE{sanders-pattreclett-24-16-2003,
         author = {Sanderson, Conrad and Paliwal, Kuldip K.},
       projects = {Idiap},
          title = {{S}tructurally noise resistant classifier for multi-modal person verification},
        journal = {Pattern Recognition Letters},
         volume = {24},
         number = {16},
           year = {2003},
       crossref = {sanders-rr-02-33},
ipdmembership={learning},
}



crossreferenced publications: 
@TECHREPORT{sanders-rr-02-33,
         author = {Sanderson, Conrad and Paliwal, Kuldip K.},
       projects = {Idiap},
          month = {9},
          title = {{I}nformation {F}usion and {P}erson {V}erification Using {S}peech & {F}ace Information},
           type = {Idiap-RR},
         number = {Idiap-RR-33-2002},
           year = {2002},
    institution = {IDIAP},
       abstract = {This report provides an overview of important concepts in the field of information fusion, followed by a review of literature pertaining to audio-visual person identification & verification. Several recent adaptive and non-adaptive techniques for reaching the verification decision (i.e., to accept or reject the claimant,',','),
 based on audio and visual information, are evaluated in clean and noisy conditions on a common database using a text-independent setup. It is shown that in clean conditions all the non-adaptive approaches provide similar performance; in noisy conditions they exhibit deterioration in their performance. It is also shown that current adaptive approaches are either inadequate or utilize restrictive assumptions. A new category of classifiers is then introduced, where the decision surface is fixed but constructed to take into account the effects of noisy conditions, providing a good trade-off between performance in clean and noisy conditions.},
            pdf = {https://publications.idiap.ch/attachments/reports/2002/rr02-33.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2002/rr02-33.ps.gz},
ipdmembership={learning},
}