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    MONET
    2006
    141views more  MONET 2006»
    An Energy-Optimal Algorithm for Neighbor Discovery in Wireless Sensor Networks
    14 years 11 months ago
    An Energy-Optimal Algorithm for Neighbor Discovery in Wireless Sensor Networks
    Download  comet.lehman.cuny.edu
    We consider sensor networks in which individual nodes with on-board sensing and low-power transmitters and receivers establish connections with neighboring nodes. The overall objec...
    Ritesh Madan, Sanjay Lall
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    PAMI
    2008
    166views more  PAMI 2008»
    Robust Real-Time Pattern Matching Using Bayesian Sequential Hypothesis Testing
    14 years 11 months ago
    Robust Real-Time Pattern Matching Using Bayesian Sequential Hypothesis Testing
    Download  www.cs.huji.ac.il
    This paper describes a method for robust real time pattern matching. We first introduce a family of image distance measures, the "Image Hamming Distance Family". Members ...
    Ofir Pele, Michael Werman
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    PR
    2006
    80views more  PR 2006»
    Neighborhood size selection in the k-nearest-neighbor rule using statistical confidence
    14 years 11 months ago
    Neighborhood size selection in the k-nearest-neighbor rule using statistical confidence
    Download  www.physics.brown.edu
    The k-nearest-neighbor rule is one of the most attractive pattern classification algorithms. In practice, the choice of k is determined by the cross-validation method. In this wor...
    Jigang Wang, Predrag Neskovic, Leon N. Cooper
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    SIAMIS
    2008
    279views more  SIAMIS 2008»
    A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
    14 years 11 months ago
    A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
    Download  www.caam.rice.edu
    We propose, analyze and test an alternating minimization algorithm for recovering images from blurry and noisy observations with total variation (TV) regularization. This algorith...
    Yilun Wang, Junfeng Yang, Wotao Yin, Yin Zhang
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    SIAMSC
    2008
    167views more  SIAMSC 2008»
    Low-Dimensional Polytope Approximation and Its Applications to Nonnegative Matrix Factorization
    14 years 11 months ago
    Low-Dimensional Polytope Approximation and Its Applications to Nonnegative Matrix Factorization
    Download  www4.ncsu.edu
    In this study, nonnegative matrix factorization is recast as the problem of approximating a polytope on the probability simplex by another polytope with fewer facets. Working on th...
    Moody T. Chu, Matthew M. Lin
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