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    ISCAS
    2005
    IEEE
    136views Hardware» more  ISCAS 2005»
    Low complexity RDO mode decision based on a fast coding-bits estimation model for H.264/AVC
    14 years 3 months ago
    Low complexity RDO mode decision based on a fast coding-bits estimation model for H.264/AVC
    Download  www.jdl.ac.cn
    Qiang Wang, Debin Zhao, Wen Gao, Siwei Ma
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    MICRO
    2005
    IEEE
    99views Hardware» more  MICRO 2005»
    uComplexity: Estimating Processor Design Effort
    14 years 3 months ago
    uComplexity: Estimating Processor Design Effort
    Download  users.soe.ucsc.edu
    Cyrus Bazeghi, Francisco J. Mesa-Martinez, Jose Re...
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    SODA
    1992
    ACM
    72views Algorithms» more  SODA 1992»
    Tail Estimates for the Space Complexity of Randomized Incremental Algorithms
    13 years 11 months ago
    Tail Estimates for the Space Complexity of Randomized Incremental Algorithms
    Download  edocs.fu-berlin.de
    Kurt Mehlhorn, Micha Sharir, Emo Welzl
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    PIMRC
    2008
    IEEE
    110views Communications» more  PIMRC 2008»
    Bayesian inference in linear models with a random Gaussian matrix : Algorithms and complexity
    14 years 4 months ago
    Bayesian inference in linear models with a random Gaussian matrix : Algorithms and complexity
    Download  web.maths.unsw.edu.au
    —We consider the Bayesian inference of a random Gaussian vector in a linear model with a random Gaussian matrix. We review two approaches to finding the MAP estimator for this m...
    Ido Nevat, Gareth W. Peters, Jinhong Yuan
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    TSP
    2010
    191views Artificial Intelligence» more  TSP 2010»
    Covariance estimation in decomposable Gaussian graphical models
    13 years 4 months ago
    Covariance estimation in decomposable Gaussian graphical models
    Download  webee.technion.ac.il
    Graphical models are a framework for representing and exploiting prior conditional independence structures within distributions using graphs. In the Gaussian case, these models are...
    Ami Wiesel, Yonina C. Eldar, Alfred O. Hero
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