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    NECO
    2002
    94views more  NECO 2002»
    Slow Feature Analysis: Unsupervised Learning of Invariances
    13 years 9 months ago
    Slow Feature Analysis: Unsupervised Learning of Invariances
    Download  papers.cnl.salk.edu
    Laurenz Wiskott, Terrence J. Sejnowski
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    NECO
    2007
    105views more  NECO 2007»
    Learning the Lie Groups of Visual Invariance
    13 years 9 months ago
    Learning the Lie Groups of Visual Invariance
    Download  www.cs.washington.edu
    Xu Miao, Rajesh P. N. Rao
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    IJCV
    2010
    134views more  IJCV 2010»
    Learning Photometric Invariance for Object Detection
    13 years 8 months ago
    Learning Photometric Invariance for Object Detection
    Download  www.science.uva.nl
    José Manuel Álvarez, Theo Gevers, An...
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    ICML
    2008
    IEEE
    100views Machine Learning» more  ICML 2008»
    The skew spectrum of graphs
    14 years 10 months ago
    The skew spectrum of graphs
    Download  www.gatsby.ucl.ac.uk
    The central issue in representing graphstructured data instances in learning algorithms is designing features which are invariant to permuting the numbering of the vertices. We pr...
    Risi Imre Kondor, Karsten M. Borgwardt
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    KDD
    2007
    ACM
    132views Data Mining» more  KDD 2007»
    A scalable modular convex solver for regularized risk minimization
    14 years 10 months ago
    A scalable modular convex solver for regularized risk minimization
    Download  www.stat.purdue.edu
    A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
    Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
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