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    CLEF
    2008
    Springer
    120views Information Technology» more  CLEF 2008»
    Cheshire at GeoCLEF 2008: Text and Fusion Approaches for GIR
    13 years 9 months ago
    Cheshire at GeoCLEF 2008: Text and Fusion Approaches for GIR
    Download  www.clef-campaign.org
    In this paper we will briefly describe the approaches taken by Berkeley for the main GeoCLEF 2008 tasks (Mono and Bilingual retrieval). The approach this year used probabilistic t...
    Ray R. Larson
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    DGO
    2008
    126views Education» more  DGO 2008»
    Active learning for e-rulemaking: public comment categorization
    13 years 9 months ago
    Active learning for e-rulemaking: public comment categorization
    Download  www.cs.cornell.edu
    We address the e-rulemaking problem of reducing the manual labor required to analyze public comment sets. In current and previous work, for example, text categorization techniques...
    Stephen Purpura, Claire Cardie, Jesse Simons
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    DICTA
    2008
    112views Applied Computing» more  DICTA 2008»
    Image Reconstruction from Contrast Information
    13 years 9 months ago
    Image Reconstruction from Contrast Information
    Download  users.cecs.anu.edu.au
    An iterative algorithm for the reconstruction of natural images given only their contrast map is presented. The solution is neuro-physiologically inspired, where the retinal cells...
    Asim A. Khwaja, Roland Goecke
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    ESANN
    2008
    149views Neural Networks» more  ESANN 2008»
    A method for robust variable selection with significance assessment
    13 years 9 months ago
    A method for robust variable selection with significance assessment
    Download  web.mit.edu
    Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
    Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Ales...
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    NIPS
    2008
    285views Information Technology» more  NIPS 2008»
    Natural Image Denoising with Convolutional Networks
    13 years 9 months ago
    Natural Image Denoising with Convolutional Networks
    Download  hebb.mit.edu
    We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
    Viren Jain, H. Sebastian Seung
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