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    KDD
    2006
    ACM
    170views Data Mining» more  KDD 2006»
    Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
    14 years 8 months ago
    Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
    Download  pages.cs.wisc.edu
    This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
    Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Tosh...
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    BMCBI
    2011
    273views Artificial Intelligence» more  BMCBI 2011»
    Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
    12 years 11 months ago
    Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
    Download  www.biomedcentral.com
    Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
    Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
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    ICCV
    2005
    IEEE
    151views Computer Vision» more  ICCV 2005»
    Real-Time Adaptive Hand Motion Recognition Using a Sparse Bayesian Classifier
    14 years 1 months ago
    Real-Time Adaptive Hand Motion Recognition Using a Sparse Bayesian Classifier
    Download  mi.eng.cam.ac.uk
    Shu-Fai Wong, Roberto Cipolla
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    AAAI
    2012
    170views Intelligent Agents» more  AAAI 2012»
    Supervised Probabilistic Robust Embedding with Sparse Noise
    11 years 10 months ago
    Supervised Probabilistic Robust Embedding with Sparse Noise
    Download  www.cs.cmu.edu
    Many noise models do not faithfully reflect the noise processes introduced during data collection in many real-world applications. In particular, we argue that a type of noise re...
    Yu Zhang, Dit-Yan Yeung, Eric P. Xing
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    ESANN
    2006
    199views Neural Networks» more  ESANN 2006»
    Recognition of handwritten digits using sparse codes generated by local feature extraction methods
    13 years 9 months ago
    Recognition of handwritten digits using sparse codes generated by local feature extraction methods
    Download  www.nada.kth.se
    We investigate when sparse coding of sensory inputs can improve performance in a classification task. For this purpose, we use a standard data set, the MNIST database of handwritte...
    Rebecca Steinert, Martin Rehn, Anders Lansner
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