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    ISBI
    2009
    IEEE
    167views Medical Imaging» more  ISBI 2009»
    Reduction of Distortions in MRSI Using a New Signal Model
    14 years 2 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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    ATVA
    2006
    Springer
    123views Hardware» more  ATVA 2006»
    Symmetry Reduction for Probabilistic Model Checking Using Generic Representatives
    13 years 11 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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    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
    12 years 11 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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    ISMVL
    2010
    IEEE
    188views Hardware» more  ISMVL 2010»
    MDGs Reduction Technique Based on the HOL Theorem Prover
    14 years 23 days 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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    ICASSP
    2009
    IEEE
    137views Signal Processing» more  ICASSP 2009»
    On the use of Bayesian modeling for predicting noise reduction performance
    14 years 2 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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