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    » Sparse probabilistic classifiers
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    KDD
    2006
    ACM
    170views Data Mining» more  KDD 2006»
    Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
    16 years 3 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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    164
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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
    14 years 6 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
    15 years 8 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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    123
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    AAAI
    2012
    170views Intelligent Agents» more  AAAI 2012»
    Supervised Probabilistic Robust Embedding with Sparse Noise
    13 years 5 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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    122
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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
    15 years 4 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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