Sparse Approximations 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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Morten Nielsen
Aalborg University Denmark
sparse signal processing
approximation theory
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Daniel Xiang
University of Chicago United States of America
sparse-approximation signal detection
selective inference
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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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Guergana Petrova
Texas A&M University United States of America
nonlinear approximation
approximation theory
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Feng Dai
University of Alberta Canada
nonlinear approximation
approximation theory
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James Nichols
Australian National University Australia
approximation
high dimensional approximation theory
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Heather Wilber
University of Washington United States of America
approximation theory
nonlinear approximation methods
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Davoud Mirzaei
Uppsala University Sweden
scattered data approximation
function approximation
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Alexei Shadrin
University of Cambridge United Kingdom
approximation theory
shape-preserving approximation
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Mohammad Salavatipour
University of Alberta Canada
approximation algorithms
hardness approximation
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Armin Iske
University of Hamburg Germany
numerical approximation
kernel-based approximation methods
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Ivan Kryven
Utrecht University Netherlands
random approximation algorithms
spectral properties of sparse graphs
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Simon Foucart
Texas A&M University United States of America
sparse structured recovery
classical approximation theory
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Zoltán Szabó
London School of Economics and Political Science United Kingdom
structured sparsity
shape-constrained prediction
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Inge Gørtz
Technical University of Denmark Denmark
approximation algorithms
pattern matching
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Rina Foygel Barber
University of Chicago United States of America
shape-constrained inference
statistical estimation
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Pierre Vandergheynst
École Polytechnique Fédérale de Lausanne Switzerland
sparse approximations
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Aydin Buluç
University of California, Berkeley United States of America
sparse computations
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