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    IJON
    2006
    53views more  IJON 2006»
    Sub-intrapersonal space analysis for face recognition
    13 years 11 months ago
    Sub-intrapersonal space analysis for face recognition
    Download  www.public.asu.edu
    Bayesian subspace analysis has been successfully applied in face recognition. However, it suffers from its operating on a whole face difference and using one global linear subspac...
    Xiaoyang Tan, Jun Liu, Songcan Chen
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    CORR
    2007
    Springer
    128views Education» more  CORR 2007»
    Model Selection Through Sparse Maximum Likelihood Estimation
    13 years 11 months ago
    Model Selection Through Sparse Maximum Likelihood Estimation
    Download  www.princeton.edu
    We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting undirected graphical model is sparse. Our approach is to...
    Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
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    JUCS
    2008
    122views more  JUCS 2008»
    Using an Evolving Thematic Clustering in a Text Segmentation Process
    13 years 11 months ago
    Using an Evolving Thematic Clustering in a Text Segmentation Process
    Download  www.jucs.org
    Abstract: The thematic text segmentation task consists in identifying the most important thematic breaks in a document in order to cut it into homogeneous passages. We propose in t...
    Sylvain Lamprier, Tassadit Amghar, Bernard Levrat,...
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    NETWORKS
    2006
    89views Computer Networks» more  NETWORKS 2006»
    Approximation algorithms for channel allocation problems in broadcast networks
    13 years 11 months ago
    Approximation algorithms for channel allocation problems in broadcast networks
    Download  www.cs.umd.edu
    We study two packing problems that arise in the area of dissemination-based information systems; a second theme is the study of distributed approximation algorithms. The problems c...
    Rajiv Gandhi, Samir Khuller, Aravind Srinivasan, N...
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    SIMPRA
    2008
    125views more  SIMPRA 2008»
    Identification of Wiener models using optimal local linear models
    13 years 11 months ago
    Identification of Wiener models using optimal local linear models
    Download  publik.tuwien.ac.at
    The Wiener model is a versatile nonlinear block oriented model structure for miscellaneous applications. In this paper a method for identifying the parameters of such a model usin...
    Martin Kozek, Sabina Sinanovic
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