Sparse Representation Data Professors in Global

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Ian Wassell
University of Cambridge United Kingdom
sparse representation data
sparse image video coding
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Trac-duy Tran
Johns Hopkins University United States of America
sparse representation
sparse recovery
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Rina Foygel Barber
University of Chicago United States of America
sparse regression
sparse nonparametric models
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Giang Tran
University of Waterloo Canada
sparse modeling
sparse optimization methods
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Giang Tran
University of Waterloo Canada
sparse modeling
sparse optimization methods
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Fredrik Kjolstad
Stanford University United States of America
sparse tensor algebra
data representation
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Antonio Ortega
University of Southern California United States of America
information representation
signal representation
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Ivan Kryven
Utrecht University Netherlands
spectral properties of sparse graphs
random graph representation
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Antonio Ortega
University of Southern California United States of America
information representation
representation
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Kassel Hingee
Australian National University Australia
spatial data
constrained multivariate data
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Bernard Baffour
Australian National University Australia
sparse data
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Rayan Saab
University of California, San Diego United States of America
sparse low-dimensional representations
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Aydin Buluç
University of California, Berkeley United States of America
sparse computations
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Rina Foygel Barber
University of Chicago United States of America
sparse regression
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Irina Rish
University of Montreal Canada
sparse modeling
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Yani Ioannou
University of Calgary Canada
sparse neural networks
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Anica Kostic
London School of Economics United Kingdom
sparse modelling
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Guillermo Sapiro
Duke University Singapore
sparse modeling
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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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Vassilis Digalakis
Boston University United States of America
sparse machine learning
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