%Aigaion2 BibTeX export from Idiap Publications
%Thursday 21 November 2024 12:05:22 PM

@ARTICLE{lapidot-rr-02-48b,
         author = {Lapidot, I. and Guterman, H.},
       projects = {Idiap},
          title = {Dichotomy Between Clustering Performance and Minimum Distortion in Piecewise-Dependent-Data ({PDD}) Clustering},
        journal = {to be published in IEEE Signal Processing Letters},
           year = {2003},
           note = {IDIAP-RR 02-48},
       crossref = {lapidot-rr02-48},
       abstract = {In many signal such speech, bio-signals, protein chains, etc. there is a dependency between consecutive vectors. As the dependency is limited in duration such data can be called as Piecewise-Dependent- Data (PDD). In clustering it is frequently needed to minimize a given distance function. In this paper we will show that in PDD clustering there is a contradiction between the desire for high resolution (short segments and low distance) and high accuracy (long segments and high distortion,',','),
 i.e. meaningful clustering.},
            pdf = {https://publications.idiap.ch/attachments/reports/2002/rr02-48.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2002/rr02-48.ps.gz},
ipdmembership={speech},
language={English},
}



crossreferenced publications: 
@TECHREPORT{lapidot-rr02-48,
         author = {Lapidot, I. and Guterman, H.},
       projects = {Idiap},
          title = {Dichotomy Between Clustering Performance and Minimum Distortion in Piecewise-Dependent-Data ({PDD}) Clustering},
           type = {Idiap-RR},
         number = {Idiap-RR-48-2002},
           year = {2002},
    institution = {IDIAP and Ben-Gurion University of the Negev, Israel},
        address = {Martigny, Switzerland},
           note = {accepted for publication in IEEE Signal Processing Letters},
       abstract = {In many signal such speech, bio-signals, protein chains, etc. there is a dependency between consecutive vectors. As the dependency is limited in duration such data can be called as Piecewise-Dependent- Data (PDD). In clustering it is frequently needed to minimize a given distance function. In this paper we will show that in PDD clustering there is a contradiction between the desire for high resolution (short segments and low distance) and high accuracy (long segments and high distortion,',','),
 i.e. meaningful clustering.},
            pdf = {https://publications.idiap.ch/attachments/reports/2002/rr02-48.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2002/rr02-48.ps.gz},
ipdinar={2002},
ipdmembership={speech},
language={English},
}