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    ISBI
    2009
    IEEE
    167views Medical Imaging» more  ISBI 2009»
    Reduction of Distortions in MRSI Using a New Signal Model
    15 years 9 months ago
    Reduction of Distortions in MRSI Using a New Signal Model
    Download  cbig.rochester.edu
    We propose a new reconstruction scheme for magnetic resonance spectroscopic imaging (MRSI) signal based on minimizing the spatial total variation (TV) integrated with the 1 -norm ...
    Ramin Eslami, Mathews Jacob
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    154
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    ATVA
    2006
    Springer
    123views Hardware» more  ATVA 2006»
    Symmetry Reduction for Probabilistic Model Checking Using Generic Representatives
    15 years 6 months ago
    Symmetry Reduction for Probabilistic Model Checking Using Generic Representatives
    Download  lfm.iti.uni-karlsruhe.de
    Generic representatives have been proposed for the effective combination of symmetry reduction and symbolic representation with BDDs in non-probabilistic model checking. This appro...
    Alastair F. Donaldson, Alice Miller
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    268
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    BMCBI
    2011
    252views Artificial Intelligence» more  BMCBI 2011»
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    14 years 6 months ago
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    Download  www.biomedcentral.com
    Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
    Raphael Mourad, Christine Sinoquet, Philippe Leray
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    116
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    ISMVL
    2010
    IEEE
    188views Hardware» more  ISMVL 2010»
    MDGs Reduction Technique Based on the HOL Theorem Prover
    15 years 7 months ago
    MDGs Reduction Technique Based on the HOL Theorem Prover
    Download  www.eis.hu.edu.jo
    —Multiway Decision Graphs (MDGs) subsume Binary Decision Diagrams (BDDs) and extend them by a first-order formulae suitable for model checking of data path circuits. In this pap...
    Sa'ed Abed, Otmane Aït Mohamed
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    113
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    ICASSP
    2009
    IEEE
    137views Signal Processing» more  ICASSP 2009»
    On the use of Bayesian modeling for predicting noise reduction performance
    15 years 9 months ago
    On the use of Bayesian modeling for predicting noise reduction performance
    Download  www.utdallas.edu
    In speech enhancement applications, a validated metric of noise reduction performance is vital in the relative ranking of noise reduction algorithms and in enhancing the performan...
    Nazanin Pourmand, David Suelzle, Vijay Parsa, Yi H...
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