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    MSR
    2005
    ACM
    98views Software Engineering» more  MSR 2005»
    Mining version histories to verify the learning process of Legitimate Peripheral Participants
    15 years 3 months ago
    Mining version histories to verify the learning process of Legitimate Peripheral Participants
    Download  msr.uwaterloo.ca
    Since code revisions reflect the extent of human involvement in the software development process, revision histories reveal the interactions and interfaces between developers and...
    Shih-Kun Huang, Kang-min Liu
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    CVPR
    2009
    IEEE
    231views Computer Vision» more  CVPR 2009»
    "Who are you?" - Learning person specific classifiers from video
    15 years 1 months ago
    "Who are you?" - Learning person specific classifiers from video
    Download  www.comp.leeds.ac.uk
    We investigate the problem of automatically labelling faces of characters in TV or movie material with their names, using only weak supervision from automaticallyaligned subtitle ...
    Josef Sivic, Mark Everingham, Andrew Zisserman
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    NIPS
    2001
    142views Information Technology» more  NIPS 2001»
    On the Generalization Ability of On-Line Learning Algorithms
    14 years 11 months ago
    On the Generalization Ability of On-Line Learning Algorithms
    Download  homes.dsi.unimi.it
    In this paper, it is shown how to extract a hypothesis with small risk from the ensemble of hypotheses generated by an arbitrary on-line learning algorithm run on an independent an...
    Nicolò Cesa-Bianchi, Alex Conconi, Claudio ...
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    AAAI
    2010
    224views Intelligent Agents» more  AAAI 2010»
    Adaptive Transfer Learning
    14 years 11 months ago
    Adaptive Transfer Learning
    Download  www.cse.ust.hk
    Transfer learning aims at reusing the knowledge in some source tasks to improve the learning of a target task. Many transfer learning methods assume that the source tasks and the ...
    Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung...
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    ICCV
    2003
    IEEE
    178views Computer Vision» more  ICCV 2003»
    Machine Learning and Multiscale Methods in the Identification of Bivalve Larvae
    15 years 11 months ago
    Machine Learning and Multiscale Methods in the Identification of Bivalve Larvae
    Download  www.whoi.edu
    This paper describes a novel application of support vector machines and multiscale texture and color invariants to a problem in biological oceanography: the identification of 6 sp...
    Sanjay Tiwari, Scott Gallager
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