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    NIPS
    1994
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    Morphogenesis of the Lateral Geniculate Nucleus: How Singularities Affect Global Structure
    15 years 1 months ago
    Morphogenesis of the Lateral Geniculate Nucleus: How Singularities Affect Global Structure
    Download  www.ks.uiuc.edu
    The macaque lateral geniculate nucleus (LGN) exhibits an intricate lamination pattern, which changes midway through the nucleus at a point coincident with small gaps due to the bl...
    Svilen Tzonev, Klaus Schulten, Joseph G. Malpeli
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    90
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    NIPS
    1996
    136views Information Technology» more  NIPS 1996»
    Adaptively Growing Hierarchical Mixtures of Experts
    15 years 1 months ago
    Adaptively Growing Hierarchical Mixtures of Experts
    Download  www.ri.cmu.edu
    We propose a novelapproach to automaticallygrowing and pruning Hierarchical Mixtures of Experts. The constructive algorithm proposed here enables large hierarchies consisting of s...
    Jürgen Fritsch, Michael Finke, Alex Waibel
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    NIPS
    1996
    147views Information Technology» more  NIPS 1996»
    Analog VLSI Circuits for Attention-Based, Visual Tracking
    15 years 1 months ago
    Analog VLSI Circuits for Attention-Based, Visual Tracking
    Download  www.ece.umd.edu
    A one-dimensional, visual tracking chip has been implemented using neuromorphic,analog VLSI techniques to modelselective visual attention in the control of saccadic and smooth pur...
    Timothy K. Horiuchi, Tonia G. Morris, Christof Koc...
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    80
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    NIPS
    1996
    123views Information Technology» more  NIPS 1996»
    Hidden Markov Decision Trees
    15 years 1 months ago
    Hidden Markov Decision Trees
    Download  learning.eng.cam.ac.uk
    We study a time series model that can be viewed as a decision tree with Markov temporal structure. The model is intractable for exact calculations, thus we utilize variational app...
    Michael I. Jordan, Zoubin Ghahramani, Lawrence K. ...
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    105
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    NIPS
    1996
    133views Information Technology» more  NIPS 1996»
    Radial Basis Function Networks and Complexity Regularization in Function Learning
    15 years 1 months ago
    Radial Basis Function Networks and Complexity Regularization in Function Learning
    Download  www.mast.queensu.ca
    In this paper we apply the method of complexity regularization to derive estimation bounds for nonlinear function estimation using a single hidden layer radial basis function netwo...
    Adam Krzyzak, Tamás Linder
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