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    ML
    2000
    ACM
    103views Machine Learning» more  ML 2000»
    Nonparametric Time Series Prediction Through Adaptive Model Selection
    13 years 7 months ago
    Nonparametric Time Series Prediction Through Adaptive Model Selection
    Download  webee.technion.ac.il
    We consider the problem of one-step ahead prediction for time series generated by an underlying stationary stochastic process obeying the condition of absolute regularity, describi...
    Ron Meir
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    FGR
    2008
    IEEE
    153views Biometrics» more  FGR 2008»
    Facial image analysis using local feature adaptation prior to learning
    14 years 2 months ago
    Facial image analysis using local feature adaptation prior to learning
    Download  rogerioferis.com
    Many facial image analysis methods rely on learningbased techniques such as Adaboost or SVMs to project classifiers based on the selection of local image filters (e.g., Haar and...
    Rogerio Feris, Ying-li Tian, Yun Zhai, Arun Hampap...
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    AIPS
    2009
    151views Artificial Intelligence» more  AIPS 2009»
    Information-Theoretic Approach to Efficient Adaptive Path Planning for Mobile Robotic Environmental Sensing
    13 years 8 months ago
    Information-Theoretic Approach to Efficient Adaptive Path Planning for Mobile Robotic Environmental Sensing
    Download  www.cs.cmu.edu
    Recent research in robot exploration and mapping has focused on sampling environmental hotspot fields. This exploration task is formalized by Low, Dolan, and Khosla (2008) in a se...
    Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
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    ASPLOS
    2004
    ACM
    141views Programming Languages» more  ASPLOS 2004»
    Low-overhead memory leak detection using adaptive statistical profiling
    14 years 1 months ago
    Low-overhead memory leak detection using adaptive statistical profiling
    Download  www.stanford.edu
    Sampling has been successfully used to identify performance optimization opportunities. We would like to apply similar techniques to check program correctness. Unfortunately, samp...
    Matthias Hauswirth, Trishul M. Chilimbi
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    SIAMSC
    2010
    145views more  SIAMSC 2010»
    An "hp" Certified Reduced Basis Method for Parametrized Elliptic Partial Differential Equations
    13 years 2 months ago
    An "hp" Certified Reduced Basis Method for Parametrized Elliptic Partial Differential Equations
    Download  augustine.mit.edu
    We present a new "hp" parameter multi-domain certified reduced basis method for rapid and reliable online evaluation of functional outputs associated with parametrized el...
    Jens L. Eftang, Anthony T. Patera, Einar M. R&osla...
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