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    PAMI
    2006
    182views more  PAMI 2006»
    Multicue HMM-UKF for Real-Time Contour Tracking
    13 years 8 months ago
    Multicue HMM-UKF for Real-Time Contour Tracking
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    We propose an HMM model for contour detection based on multiple visual cues in spatial domain and improve it by joint probabilistic matching to reduce background clutter. It is fu...
    Yunqiang Chen, Yong Rui, Thomas S. Huang
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    BMCBI
    2005
    292views more  BMCBI 2005»
    Atlas - a data warehouse for integrative bioinformatics
    13 years 8 months ago
    Atlas - a data warehouse for integrative bioinformatics
    Download  www.biomedcentral.com
    Background: We present a biological data warehouse called Atlas that locally stores and integrates biological sequences, molecular interactions, homology information, functional a...
    Sohrab P. Shah, Yong Huang, Tao Xu, Macaire M. S. ...
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    BMCBI
    2011
    253views Artificial Intelligence» more  BMCBI 2011»
    Worm Phenotype Ontology: integrating phenotype data within and beyond the C. elegans community
    13 years 3 months ago
    Worm Phenotype Ontology: integrating phenotype data within and beyond the C. elegans community
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    Background: Caenorhabditis elegans gene-based phenotype information dates back to the 1970’s, beginning with Sydney Brenner and the characterization of behavioral and morphologi...
    Gary Schindelman, Jolene Fernandes, Carol Bastiani...
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    BMCBI
    2007
    141views more  BMCBI 2007»
    On the origin and evolution of biosynthetic pathways: integrating microarray data with structure and organization of the Common
    13 years 8 months ago
    On the origin and evolution of biosynthetic pathways: integrating microarray data with structure and organization of the Common
    Download  www.biomedcentral.com
    Background: The lysine, threonine, and methionine biosynthetic pathways share the three initial enzymatic steps, which are referred to as the Common Pathway (CP). In Escherichia c...
    Marco Fondi, Matteo Brilli, Renato Fani
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    BMCBI
    2010
    118views more  BMCBI 2010»
    From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
    13 years 8 months ago
    From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
    Download  www.biomedcentral.com
    Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
    Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...
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