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    JGAA
    2007
    135views more  JGAA 2007»
    Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Dat
    13 years 7 months ago
    Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Dat
    Download  www.emis.de
    Graphs are an extremely general and powerful data structure. In pattern recognition and computer vision, graphs are used to represent patterns to be recognized or classified. Det...
    Donatello Conte, Pasquale Foggia, Mario Vento
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    AUTOMATICA
    2005
    103views more  AUTOMATICA 2005»
    Periodic signal analysis by maximum likelihood modeling of orbits of nonlinear ODEs
    13 years 7 months ago
    Periodic signal analysis by maximum likelihood modeling of orbits of nonlinear ODEs
    Download  user.it.uu.se
    This paper treats a new approach to the problem of periodic signal estimation. The idea is to model the periodic signal as a function of the state of a second-order nonlinear ordi...
    Torsten Söderström, Torbjörn Wigren...
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    ICIP
    2007
    IEEE
    147views Image Processing» more  ICIP 2007»
    Rate-Distortion Analysis and Bit Allocation Strategy for Motion Estimation at the Decoder using Maximum Likelihood Technique in
    14 years 2 months ago
    Rate-Distortion Analysis and Bit Allocation Strategy for Motion Estimation at the Decoder using Maximum Likelihood Technique in
    Download  biron.usc.edu
    Numerous approaches for distributed video coding have been recently proposed. One of main motivations for these techniques is the possibility of achieving complexity tradeoffs bet...
    Ivy H. Tseng, Antonio Ortega
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    ICA
    2004
    Springer
    84views Signal Processing» more  ICA 2004»
    Blind Maximum Likelihood Separation of a Linear-Quadratic Mixture
    14 years 1 months ago
    Blind Maximum Likelihood Separation of a Linear-Quadratic Mixture
    Download  www.ast.obs-mip.fr
    Abstract. We proposed recently a new method for separating linearquadratic mixtures of independent real sources, based on parametric identification of a recurrent separating struc...
    Shahram Hosseini, Yannick Deville
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    PAMI
    2008
    162views more  PAMI 2008»
    Dimensionality Reduction of Clustered Data Sets
    13 years 7 months ago
    Dimensionality Reduction of Clustered Data Sets
    Download  eprints.pascal-network.org
    We present a novel probabilistic latent variable model to perform linear dimensionality reduction on data sets which contain clusters. We prove that the maximum likelihood solution...
    Guido Sanguinetti
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