Sparse 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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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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Vassilis Digalakis
Boston University United States of America
sparse machine learning
data streams
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Quan Vu
Australian National University Australia
spatial data
clustered data
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Peng Ding
University of California, Berkeley United States of America
contaminated data
missing data
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Robin Mitra
University College London United Kingdom
missing data
data confidentiality
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Jerome Reiter
Duke University Singapore
missing data
data confidentiality
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Ekaterini Ioannou
Tilburg University Netherlands
data uncertainty
unstructured data
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Jack Chen
University of New South Wales Australia
observational data
data linkage
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Stanislav Ronzhin
University of Twente Netherlands
open data
linked data
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Ben Harrap
Australian National University Australia
data collection
data linkage
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Nikos Tzavidis
University of Southampton United Kingdom
data aggregation
geospatial data
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V.s. Subrahmanian
Northwestern University United States of America
image data
geospatial data
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Bernard Baffour
Australian National University Australia
sparse data
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Aydin Buluç
University of California, Berkeley United States of America
sparse computations
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Yani Ioannou
University of Calgary Canada
sparse neural networks
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Alper Atamturk
University of California, Berkeley United States of America
sparse learning
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P. Vaidyanathan
California Institute of Technology United States of America
sparse sampling
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Anica Kostic
London School of Economics United Kingdom
sparse modelling
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Morten Nielsen
Aalborg University Denmark
sparse signal processing
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