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    » Pattern Search Methods for Linearly Constrained Minimization
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    DBA
    2006
    182views Database» more  DBA 2006»
    Matrix Apriori: Speeding Up the Search for Frequent Patterns
    13 years 9 months ago
    Matrix Apriori: Speeding Up the Search for Frequent Patterns
    Download  lib.semi.ac.cn
    This work discusses the problem of generating association rules from a set of transactions in a relational database, taking performance and accuracy of found results as the essent...
    Judith Pavón, Sidney Viana, Santiago G&oacu...
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    EOR
    2007
    111views more  EOR 2007»
    Linear programming based algorithms for preemptive and non-preemptive RCPSP
    13 years 8 months ago
    Linear programming based algorithms for preemptive and non-preemptive RCPSP
    Download  hal.archives-ouvertes.fr
    : In this paper, the RCPSP (Resource Constrained Project Scheduling Problem) is solved using a linear programming model. Each activity may or may not be preemptive. Each variable i...
    Jean Damay, Alain Quilliot, Eric Sanlaville
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    VTS
    1997
    IEEE
    86views Hardware» more  VTS 1997»
    Methods to reduce test application time for accumulator-based self-test
    14 years 18 days ago
    Methods to reduce test application time for accumulator-based self-test
    Download  www.ra.informatik.uni-stuttgart.de
    Accumulators based on addition or subtraction can be used as test pattern generators. Some circuits, however, require long test lengths if the parameters of the accumulator are no...
    Albrecht P. Stroele, Frank Mayer
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    TSP
    2010
    421views Artificial Intelligence» more  TSP 2010»
    Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-norms
    13 years 3 months ago
    Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-norms
    Download  ae-www.technion.ac.il
    We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
    Avishy Carmi, Pini Gurfil, Dimitri Kanevsky
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    ESANN
    2007
    149views Neural Networks» more  ESANN 2007»
    A novel kernel-based method for local pattern extraction in random process signals
    13 years 9 months ago
    A novel kernel-based method for local pattern extraction in random process signals
    Download  www.ra.cs.uni-tuebingen.de
    In many applications, one is interested to detect certain patterns in random process signals. We consider a class of random process signals which contain sub similarities at rando...
    Majid Beigi, Andreas Zell
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