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    GPEM
    2007
    119views more  GPEM 2007»
    Genomic mining for complex disease traits with "random chemistry"
    14 years 9 months ago
    Genomic mining for complex disease traits with "random chemistry"
    Download  www.emba.uvm.edu
    Our rapidly growing knowledge regarding genetic variation in the human genome offers great potential for understanding the genetic etiology of disease. This, in turn, could revolut...
    Margaret J. Eppstein, Joshua L. Payne, Bill C. Whi...
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    NECO
    2007
    127views more  NECO 2007»
    Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
    14 years 9 months ago
    Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
    Download  dsp.ucsd.edu
    We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
    Joseph F. Murray, Kenneth Kreutz-Delgado
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    TCOM
    2010
    67views more  TCOM 2010»
    Receive antenna selection for unitary space-time modulation over semi-correlated Ricean channels
    14 years 8 months ago
    Receive antenna selection for unitary space-time modulation over semi-correlated Ricean channels
    Download  www.ece.ualberta.ca
    —Receive antenna selection for unitary space-time modulation (USTM) over semi-correlated Ricean fading channels is analyzed (this work generalizes that of Ma and Tepedelenlio˘gl...
    Mahdi Ramezani, Mahdi Hajiaghayi, Chintha Tellambu...
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    TASLP
    2010
    117views more  TASLP 2010»
    Speech Enhancement Using Gaussian Scale Mixture Models
    14 years 4 months ago
    Speech Enhancement Using Gaussian Scale Mixture Models
    Download  papers.cnl.salk.edu
    This paper presents a novel probabilistic approach to speech enhancement. Instead of a deterministic logarithmic relationship, we assume a probabilistic relationship between the fr...
    Jiucang Hao, Te-Won Lee, Terrence J. Sejnowski
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    BMCBI
    2004
    166views more  BMCBI 2004»
    Gene prediction using the Self-Organizing Map: automatic generation of multiple gene models
    14 years 9 months ago
    Gene prediction using the Self-Organizing Map: automatic generation of multiple gene models
    Download  eprints.nuim.ie
    Background: Many current gene prediction methods use only one model to represent proteincoding regions in a genome, and so are less likely to predict the location of genes that ha...
    Shaun Mahony, James O. McInerney, Terry J. Smith, ...
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