Sparse Matrix Factorization Professors in Global

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Giang Tran
University of Waterloo Canada
sparse modeling
sparse optimization methods
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Trac-duy Tran
Johns Hopkins University United States of America
sparse representation
sparse recovery
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Ian Wassell
University of Cambridge United Kingdom
sparse representation data
sparse image video coding
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John Urschel
Massachusetts Institute of Technology United States of America
matrix analysis
matrix computations
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Ivan Kryven
Utrecht University Netherlands
spectral properties of sparse graphs
random matrices
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Jacek Gondzio
University of Edinburgh United Kingdom
sparse matrix factorization
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Tim Davis
Texas A&M University United States of America
sparse matrix algorithms
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Walter Murray
Stanford University United States of America
sparse matrix methods
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Giovanni Motta
Columbia University United States of America
matrix factorization
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Vassilis Digalakis
Boston University United States of America
sparse machine learning
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Guillaume Obozinski
École Polytechnique Fédérale de Lausanne Switzerland
sparse modeling
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Joel Tropp
California Institute of Technology United States of America
sparse modeling
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Anica Kostic
London School of Economics United Kingdom
sparse modelling
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Irina Rish
University of Montreal Canada
sparse modeling
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Aydin Buluç
University of California, Berkeley United States of America
sparse computations
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Elias Zea Marcano
KTH Royal Institute of Technology Sweden
sparse signal processing
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Morten Nielsen
Aalborg University Denmark
sparse signal processing
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Linghao Song
Yale University United States of America
large-scale sparse processing
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P. Vaidyanathan
California Institute of Technology United States of America
sparse sampling
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Alper Atamturk
University of California, Berkeley United States of America
sparse learning
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Giulia Guidi
Cornell University Netherlands
sparse linear algebra
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