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    » Improving the DISPGB algorithm using the discriminant ideal
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    NN
    2008
    Springer
    201views Neural Networks» more  NN 2008»
    Learning representations for object classification using multi-stage optimal component analysis
    13 years 7 months ago
    Learning representations for object classification using multi-stage optimal component analysis
    Download  ww2.cs.fsu.edu
    Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
    Yiming Wu, Xiuwen Liu, Washington Mio
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    MOBISYS
    2007
    ACM
    209views Computer Networks» more  MOBISYS 2007»
    Context-for-wireless: context-sensitive energy-efficient wireless data transfer
    14 years 7 months ago
    Context-for-wireless: context-sensitive energy-efficient wireless data transfer
    Download  www.ruf.rice.edu
    Ubiquitous connectivity on mobile devices will enable numerous new applications in healthcare and multimedia. We set out to check how close we are towards ubiquitous connectivity ...
    Ahmad Rahmati, Lin Zhong
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    UAI
    2003
    172views Artificial Intelligence» more  UAI 2003»
    On the Convergence of Bound Optimization Algorithms
    13 years 9 months ago
    On the Convergence of Bound Optimization Algorithms
    Download  cs.nyu.edu
    Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
    Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...
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    PRL
    2006
    180views more  PRL 2006»
    MutualBoost learning for selecting Gabor features for face recognition
    13 years 7 months ago
    MutualBoost learning for selecting Gabor features for face recognition
    Download  ima.ac.uk
    This paper describes an improved boosting algorithm, the MutualBoost algorithm, and its application in developing a fast and robust Gabor feature based face recognition system. Th...
    LinLin Shen, Li Bai
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    RECOMB
    2010
    Springer
    152views Computational Biology» more  RECOMB 2010»
    naiveBayesCall: An Efficient Model-Based Base-Calling Algorithm for High-Throughput Sequencing
    13 years 9 months ago
    naiveBayesCall: An Efficient Model-Based Base-Calling Algorithm for High-Throughput Sequencing
    Download  www.eecs.berkeley.edu
    Immense amounts of raw instrument data (i.e., images of fluorescence) are currently being generated using ultra high-throughput sequencing platforms. An important computational cha...
    Wei-Chun Kao, Yun S. Song
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