Sparse Linear Systems Professors in Global

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Giang Tran
University of Waterloo Canada
sparse modeling
sparse optimization methods
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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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Steven Brunton
University of Washington United States of America
sparse sensing
optimal placement of sparse sensors and actuators
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John Allwright
Imperial College London United Kingdom
time-varying linear systems
nonlinear systems
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Jeremie Lefebvre
University of Ottawa Canada
stochastic systems
complex systems
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Kim Blackmore
Australian National University Australia
localised systems
learning systems
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Seo Park
University of Southern California United States of America
parallel systems
distributed systems
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Chen Greif
University of British Columbia Canada
sparse linear systems
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Kenneth Jackson
University of Toronto Canada
large sparse linear systems
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Giulia Guidi
Cornell University Netherlands
sparse linear algebra
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Yani Ioannou
University of Calgary Canada
sparse neural networks
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Vassilis Digalakis
Boston University United States of America
sparse machine learning
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Aydin Buluç
University of California, Berkeley United States of America
sparse computations
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Joel Tropp
California Institute of Technology United States of America
sparse modeling
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Alper Atamturk
University of California, Berkeley United States of America
sparse learning
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Anica Kostic
London School of Economics United Kingdom
sparse modelling
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Guillaume Obozinski
École Polytechnique Fédérale de Lausanne Switzerland
sparse modeling
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Irina Rish
University of Montreal Canada
sparse modeling
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Bernard Baffour
Australian National University Australia
sparse data
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Line Clemmensen
Technical University of Denmark Denmark
sparse methods
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