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    CIKM
    2009
    Springer
    217views Information Technology» more  CIKM 2009»
    Probabilistic models for topic learning from images and captions in online biomedical literatures
    15 years 2 months ago
    Probabilistic models for topic learning from images and captions in online biomedical literatures
    Download  www.pages.drexel.edu
    Biomedical images and captions are one of the major sources of information in online biomedical publications. They often contain the most important results to be reported, and pro...
    Xin Chen, Caimei Lu, Yuan An, Palakorn Achananupar...
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    JIB
    2006
    220views more  JIB 2006»
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    14 years 10 months ago
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    Download  journal.imbio.de
    Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
    Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
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    BMCBI
    2004
    140views more  BMCBI 2004»
    What can we learn from noncoding regions of similarity between genomes?
    14 years 9 months ago
    What can we learn from noncoding regions of similarity between genomes?
    Download  www.biomedcentral.com
    Background: In addition to known protein-coding genes, large amounts of apparently non-coding sequence are conserved between the human and mouse genomes. It seems reasonable to as...
    Thomas A. Down, Tim J. P. Hubbard
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    CVPR
    2010
    IEEE
    238views Computer Vision» more  CVPR 2010»
    Stratified Learning of Local Anatomical Context for Lung Nodules in CT Images
    15 years 2 months ago
    Stratified Learning of Local Anatomical Context for Lung Nodules in CT Images
    Download  www.cs.jhu.edu
    The automatic detection of lung nodules attached to other pulmonary structures is a useful yet challenging task in lung CAD systems. In this paper, we propose a stratified statist...
    Dijia Wu, Le Lu, Jinbo Bi, Yoshihisa Shinagawa, Ki...
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    TRECVID
    2008
    207views Internet Technology» more  TRECVID 2008»
    Learning TRECVID'08 High-Level Features from YouTube
    14 years 11 months ago
    Learning TRECVID'08 High-Level Features from YouTube
    Download  www-nlpir.nist.gov
    Run No. Run ID Run Description infMAP (%) training on TV08 data 1 IUPR-TV-M SIFT visual words with maximum entropy 6.1 2 IUPR-TV-MF SIFT with maximum entropy, fused with color+tex...
    Adrian Ulges, Christian Schulze, Markus Koch, Thom...
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