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    SIAMIS
    2008
    279views more  SIAMIS 2008»
    A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
    14 years 9 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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    SIAMJO
    2008
    108views more  SIAMJO 2008»
    Sparse SOS Relaxations for Minimizing Functions that are Summations of Small Polynomials
    14 years 9 months ago
    Sparse SOS Relaxations for Minimizing Functions that are Summations of Small Polynomials
    Download  math.ucsd.edu
    This paper discusses how to find the global minimum of functions that are summations of small polynomials ("small" means involving a small number of variables). Some spa...
    Jiawang Nie, James Demmel
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    SIAMSC
    2008
    165views more  SIAMSC 2008»
    Iterated Hard Shrinkage for Minimization Problems with Sparsity Constraints
    14 years 9 months ago
    Iterated Hard Shrinkage for Minimization Problems with Sparsity Constraints
    Download  www.math.uni-bremen.de
    Abstract. A new iterative algorithm for the solution of minimization problems in infinitedimensional Hilbert spaces which involve sparsity constraints in form of p-penalties is pro...
    Kristian Bredies, Dirk A. Lorenz
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    SIAMJO
    2000
    63views more  SIAMJO 2000»
    Pattern Search Methods for Linearly Constrained Minimization
    14 years 9 months ago
    Pattern Search Methods for Linearly Constrained Minimization
    Download  www.ima.umn.edu
    This paper deals with generalized pattern search (GPS) algorithms for linearly constrained optimization. At each iteration, the GPS algorithm generates a set of directions that con...
    Robert Michael Lewis, Virginia Torczon
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    JAIR
    2010
    94views more  JAIR 2010»
    Which Clustering Do You Want? Inducing Your Ideal Clustering with Minimal Feedback
    14 years 8 months ago
    Which Clustering Do You Want? Inducing Your Ideal Clustering with Minimal Feedback
    Download  www.jair.org
    While traditional research on text clustering has largely focused on grouping documents by topic, it is conceivable that a user may want to cluster documents along other dimension...
    Sajib Dasgupta, Vincent Ng
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