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    ECCV
    2006
    Springer
    270views Computer Vision» more  ECCV 2006»
    Sparse Flexible Models of Local Features
    16 years 4 months ago
    Sparse Flexible Models of Local Features
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    Abstract. In recent years there has been growing interest in recognition models using local image features for applications ranging from long range motion matching to object class ...
    Gustavo Carneiro, David Lowe
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    97
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    APPROX
    2007
    Springer
    97views Algorithms» more  APPROX 2007»
    Optimal Resource Augmentations for Online Knapsack
    15 years 8 months ago
    Optimal Resource Augmentations for Online Knapsack
    Download  www.lab2.kuis.kyoto-u.ac.jp
    It is known that online knapsack is not competitive. This negative result remains true even if the items are removable. In this paper we consider online removable knapsack with
    Kazuo Iwama, Guochuan Zhang
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    ICML
    2008
    IEEE
    113views Machine Learning» more  ICML 2008»
    Rank minimization via online learning
    16 years 3 months ago
    Rank minimization via online learning
    Download  www.stanford.edu
    Raghu Meka, Prateek Jain, Constantine Caramanis, I...
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    ICML
    1997
    IEEE
    135views Machine Learning» more  ICML 1997»
    Expected Mistake Bound Model for On-Line Reinforcement Learning
    16 years 3 months ago
    Expected Mistake Bound Model for On-Line Reinforcement Learning
    Download  www.cs.ualberta.ca
    Claude-Nicolas Fiechter
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    ICML
    1996
    IEEE
    126views Machine Learning» more  ICML 1996»
    On-Line Adaptation of a Signal Predistorter through Dual Reinforcement Learning
    16 years 3 months ago
    On-Line Adaptation of a Signal Predistorter through Dual Reinforcement Learning
    Download  www.cs.utexas.edu
    Patrick Goetz, Shailesh Kumar, Risto Miikkulainen
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