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    BMCBI
    2006
    120views more  BMCBI 2006»
    An improved distance measure between the expression profiles linking co-expression and co-regulation in mouse
    13 years 8 months ago
    An improved distance measure between the expression profiles linking co-expression and co-regulation in mouse
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    Background: Many statistical algorithms combine microarray expression data and genome sequence data to identify transcription factor binding motifs in the low eukaryotic genomes. ...
    Ryung S. Kim, Hongkai Ji, Wing Hung Wong
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    BMCBI
    2006
    122views more  BMCBI 2006»
    Genome comparison using Gene Ontology (GO) with statistical testing
    13 years 8 months ago
    Genome comparison using Gene Ontology (GO) with statistical testing
    Download  www.biomedcentral.com
    Background: Automated comparison of complete sets of genes encoded in two genomes can provide insight on the genetic basis of differences in biological traits between species. Gen...
    Zhaotao Cai, Xizeng Mao, Songgang Li, Liping Wei
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    BMCBI
    2007
    142views more  BMCBI 2007»
    SABERTOOTH: protein structural alignment based on a vectorial structure representation
    13 years 8 months ago
    SABERTOOTH: protein structural alignment based on a vectorial structure representation
    Download  www.biomedcentral.com
    Background: The task of computing highly accurate structural alignments of proteins in very short computation time is still challenging. This is partly due to the complexity of pr...
    Florian Teichert, Ugo Bastolla, Markus Porto
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    CVPR
    2009
    IEEE
    2305views Computer Vision» more  CVPR 2009»
    Visual tracking on the affine group via geometric particle filtering using optimal importance function
    15 years 3 months ago
    Visual tracking on the affine group via geometric particle filtering using optimal importance function
    Download  cv.snu.ac.kr
    We propose a geometric method for visual tracking, in which the 2-D affine motion of a given object template is estimated in a video sequence by means of coordinateinvariant partic...
    Junghyun Kwon (Seoul National University), Kyoung ...
    posted by kyoungmu
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    CVPR
    2009
    IEEE
    461views Computer Vision» more  CVPR 2009»
    Max-Margin Hidden Conditional Random Fields for Human Action Recognition
    15 years 3 months ago
    Max-Margin Hidden Conditional Random Fields for Human Action Recognition
    Download  www.sfu.ca
    We present a new method for classification with structured latent variables. Our model is formulated using the max-margin formalism in the discriminative learning literature. We...
    Yang Wang 0003, Greg Mori
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