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    NIPS
    1997
    99views Information Technology» more  NIPS 1997»
    Graph Matching with Hierarchical Discrete Relaxation
    13 years 6 months ago
    Graph Matching with Hierarchical Discrete Relaxation
    Download  www-users.cs.york.ac.uk
    Our aim in this paper is to develop a Bayesian framework for matching hierarchical relational models. Such models are widespread in computer vision. The framework that we adopt fo...
    Richard C. Wilson, Edwin R. Hancock
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    NIPS
    1997
    98views Information Technology» more  NIPS 1997»
    Hybrid NN/HMM-Based Speech Recognition with a Discriminant Neural Feature Extraction
    13 years 6 months ago
    Hybrid NN/HMM-Based Speech Recognition with a Discriminant Neural Feature Extraction
    Download  www.mmk.e-technik.tu-muenchen.de
    In thispaper, we present a novelhybridarchitecture forcontinuousspeech recognition systems. It consists of a continuous HMM system extended by an arbitrary neural network that is ...
    Daniel Willett, Gerhard Rigoll
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    NIPS
    1997
    126views Information Technology» more  NIPS 1997»
    Mapping a Manifold of Perceptual Observations
    13 years 6 months ago
    Mapping a Manifold of Perceptual Observations
    Download  web.mit.edu
    Nonlinear dimensionality reduction is formulated here as the problem of trying to find a Euclidean feature-space embedding of a set of observations that preserves as closely as p...
    Joshua B. Tenenbaum
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    NIPS
    1997
    124views Information Technology» more  NIPS 1997»
    How to Dynamically Merge Markov Decision Processes
    13 years 6 months ago
    How to Dynamically Merge Markov Decision Processes
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    Satinder P. Singh, David Cohn
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    NIPS
    1997
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    Minimax and Hamiltonian Dynamics of Excitatory-Inhibitory Networks
    13 years 6 months ago
    Minimax and Hamiltonian Dynamics of Excitatory-Inhibitory Networks
    Download  hebb.mit.edu
    A Lyapunov function for excitatory-inhibitory networks is constructed. The construction assumes symmetric interactions within excitatory and inhibitory populations of neurons, and...
    H. Sebastian Seung, Tom J. Richardson, J. C. Lagar...
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    NIPS
    1997
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    Training Methods for Adaptive Boosting of Neural Networks
    13 years 6 months ago
    Training Methods for Adaptive Boosting of Neural Networks
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    Holger Schwenk, Yoshua Bengio
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    NIPS
    1997
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    Local Dimensionality Reduction
    13 years 6 months ago
    Local Dimensionality Reduction
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    Stefan Schaal, Sethu Vijayakumar, Christopher G. A...
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    NIPS
    1997
    113views Information Technology» more  NIPS 1997»
    Intrusion Detection with Neural Networks
    13 years 6 months ago
    Intrusion Detection with Neural Networks
    Download  nn.cs.utexas.edu
    With the rapid expansion of computer networks during the past few years, security has become a crucial issue for modern computer systems. A good way to detect illegitimate use is ...
    Jake Ryan, Meng-Jang Lin, Risto Miikkulainen
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    NIPS
    1997
    211views Information Technology» more  NIPS 1997»
    EM Algorithms for PCA and SPCA
    13 years 6 months ago
    EM Algorithms for PCA and SPCA
    Download  www.cs.nyu.edu
    I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
    Sam T. Roweis
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    NIPS
    1997
    124views Information Technology» more  NIPS 1997»
    Just One View: Invariances in Inferotemporal Cell Tuning
    13 years 6 months ago
    Just One View: Invariances in Inferotemporal Cell Tuning
    Download  riesenhuberlab.neuro.georgetown.edu
    In macaque inferotemporal cortex (IT), neurons have been found to respond selectively to complex shapes while showing broad tuning (“invariance”) with respect to stimulus tran...
    Maximilian Riesenhuber, Tomaso Poggio
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