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    JCNS
    2000
    165views more  JCNS 2000»
    A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientati
    13 years 5 months ago
    A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientati
    Download  www.math.umn.edu
    We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
    Duane Q. Nykamp, Daniel Tranchina
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    CEC
    2005
    IEEE
    154views Artificial Intelligence» more  CEC 2005»
    Sensorimotor experience and its metrics: informational geometry and the temporal horizon
    13 years 11 months ago
    Sensorimotor experience and its metrics: informational geometry and the temporal horizon
    Download  www.robotcub.org
    Abstract- We introduce metrics on sensorimotor experience at various temporal scales based on informationtheory. Sensorimotor variables through which the experience of an agent fl...
    Chrystopher L. Nehaniv
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    SIAMIS
    2011
    206views Software Engineering» more  SIAMIS 2011»
    A New Geometric Metric in the Space of Curves, and Applications to Tracking Deforming Objects by Prediction and Filtering
    13 years 22 days ago
    A New Geometric Metric in the Space of Curves, and Applications to Tracking Deforming Objects by Prediction and Filtering
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    We define a novel metric on the space of closed planar curves which decomposes into three intuitive components. According to this metric centroid translations, scale changes and ...
    Ganesh Sundaramoorthi, Andrea Mennucci, Stefano So...
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    TKDE
    2012
    270views Formal Methods» more  TKDE 2012»
    Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
    11 years 8 months ago
    Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
    Download  www.cs.wayne.edu
    —Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
    Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Din...
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    ICPR
    2002
    IEEE
    131views computer vision» more  ICPR 2002»
    A Large Scale Clustering Scheme for Kernel K-Means
    13 years 10 months ago
    A Large Scale Clustering Scheme for Kernel K-Means
    Download  www.cs.cmu.edu
    Kernel functions can be viewed as a non-linear transformation that increases the separability of the input data by mapping them to a new high dimensional space. The incorporation ...
    Rong Zhang, Alexander I. Rudnicky
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