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    NIPS
    1994
    125views Information Technology» more  NIPS 1994»
    Using a neural net to instantiate a deformable model
    13 years 11 months ago
    Using a neural net to instantiate a deformable model
    Download  www.cs.toronto.edu
    Deformable models are an attractive approach to recognizing nonrigid objects which have considerable within class variability. However, there are severe search problems associated...
    Christopher K. I. Williams, Michael Revow, Geoffre...
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    NIPS
    1996
    162views Information Technology» more  NIPS 1996»
    Maximum Likelihood Blind Source Separation: A Context-Sensitive Generalization of ICA
    13 years 11 months ago
    Maximum Likelihood Blind Source Separation: A Context-Sensitive Generalization of ICA
    Download  bme.ccny.cuny.edu
    In the square linear blind source separation problem, one must nd a linear unmixing operator which can detangle the result xi(t) of mixing n unknown independent sources si(t) thro...
    Barak A. Pearlmutter, Lucas C. Parra
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    NIPS
    1996
    128views Information Technology» more  NIPS 1996»
    Neural Models for Part-Whole Hierarchies
    13 years 11 months ago
    Neural Models for Part-Whole Hierarchies
    Download  riesenhuberlab.neuro.georgetown.edu
    We present a connectionist method for representing images that explicitlyaddresses their hierarchicalnature. It blends data fromneuroscience about whole-object viewpoint sensitive...
    Maximilian Riesenhuber, Peter Dayan
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    NIPS
    1996
    106views Information Technology» more  NIPS 1996»
    Reinforcement Learning for Dynamic Channel Allocation in Cellular Telephone Systems
    13 years 11 months ago
    Reinforcement Learning for Dynamic Channel Allocation in Cellular Telephone Systems
    Download  www.cis.upenn.edu
    In cellular telephone systems, an important problem is to dynamically allocate the communication resource channels so as to maximize service in a stochastic caller environment. Th...
    Satinder P. Singh, Dimitri P. Bertsekas
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    NIPS
    1989
    119views Information Technology» more  NIPS 1989»
    The Cascade-Correlation Learning Architecture
    13 years 10 months ago
    The Cascade-Correlation Learning Architecture
    Download  www.cs.iastate.edu
    Cascade-Correlation is a new architecture and supervised learning algorithm for artificial neural networks. Instead of just adjusting the weights in a network of fixed topology,...
    Scott E. Fahlman, Christian Lebiere
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