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    PAMI
    2008
    161views more  PAMI 2008»
    TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
    13 years 8 months ago
    TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
    Download  people.ece.cornell.edu
    The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
    Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
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    PRL
    2008
    78views more  PRL 2008»
    Retrieving scale from quasi-stationary images
    13 years 8 months ago
    Retrieving scale from quasi-stationary images
    Download  cs.nyu.edu
    (204 words) We have developed a novel method to derive scale information from quasi-stationary images, which relies on a rotation-guided multi-scale analysis of features derived fr...
    Piotr W. Mirowski, Daniel M. Tetzlaff
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    SIAMIS
    2008
    174views more  SIAMIS 2008»
    Efficient Reconstruction of Piecewise Constant Images Using Nonsmooth Nonconvex Minimization
    13 years 8 months ago
    Efficient Reconstruction of Piecewise Constant Images Using Nonsmooth Nonconvex Minimization
    Download  www.cmla.ens-cachan.fr
    We consider the restoration of piecewise constant images where the number of the regions and their values are not fixed in advance, with a good difference of piecewise constant val...
    Mila Nikolova, Michael K. Ng, Shuqin Zhang, Wai-Ki...
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    TCSV
    2008
    130views more  TCSV 2008»
    Fast H.264/MPEG-4 AVC Transcoding Using Power-Spectrum Based Rate-Distortion Optimization
    13 years 8 months ago
    Fast H.264/MPEG-4 AVC Transcoding Using Power-Spectrum Based Rate-Distortion Optimization
    Download  research.microsoft.com
    Since variable block-size motion compensation (MC) and rate-distortion optimization (RDO) techniques are adopted in H.264/MPEG-4 AVC, modes and motion vectors (MVs) in input stream...
    Huifeng Shen, Xiaoyan Sun, Feng Wu
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    TIT
    2008
    141views more  TIT 2008»
    Dimensionality Reduction for Distributed Estimation in the Infinite Dimensional Regime
    13 years 8 months ago
    Dimensionality Reduction for Distributed Estimation in the Infinite Dimensional Regime
    Download  rr.epfl.ch
    Distributed estimation of an unknown signal is a common task in sensor networks. The scenario usually envisioned consists of several nodes, each making an observation correlated wi...
    Olivier Roy, Martin Vetterli
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