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    NIPS
    2008
    207views Information Technology» more  NIPS 2008»
    DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
    13 years 11 months ago
    DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
    Download  www.cs.berkeley.edu
    Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
    Simon Lacoste-Julien, Fei Sha, Michael I. Jordan
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    IQ
    2007
    143views Information Technology» more  IQ 2007»
    Simulations Of Error Propagation For Prioritizing Data Accuracy Improvement Efforts
    13 years 11 months ago
    Simulations Of Error Propagation For Prioritizing Data Accuracy Improvement Efforts
    Download  mitiq.mit.edu
    : Models of the association between input accuracy and output accuracy imply that, for any given application, the effect of input errors on the output error rate generally varies i...
    Irit Askira Gelman
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    SDM
    2008
    SIAM
    256views Data Mining» more  SDM 2008»
    Graph Mining with Variational Dirichlet Process Mixture Models
    13 years 11 months ago
    Graph Mining with Variational Dirichlet Process Mixture Models
    Download  sato-www.cs.titech.ac.jp
    Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
    Koji Tsuda, Kenichi Kurihara
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    MVA
    2007
    142views Computer Vision» more  MVA 2007»
    Improved Wavelet Feature Extraction Methods Based on HSV Space for Vehicle Detection
    13 years 11 months ago
    Improved Wavelet Feature Extraction Methods Based on HSV Space for Vehicle Detection
    Download  b2.cvl.iis.u-tokyo.ac.jp
    The focus of this work is on the problem of feature extraction for vehicle detection. Feature extraction is a key point of pattern recognition. In particular, we propose using imp...
    Xuezhi Wen, Wei Liu, Nan Wang, Huai Yuan, Hong Zha...
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    SDM
    2007
    SIAM
    198views Data Mining» more  SDM 2007»
    Learning from Time-Changing Data with Adaptive Windowing
    13 years 11 months ago
    Learning from Time-Changing Data with Adaptive Windowing
    Download  siam.org
    We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
    Albert Bifet, Ricard Gavaldà
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