Filtering Estimation Professors in Global

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Sharon Ong
Tilburg University Netherlands
stochastic filtering
bayesian estimation
machine learning
image analysis
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Bing Li
Pennsylvania State University United States of America
estimating equations
semiparametric estimation
machine learning
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Professorship Biometry Molecular Medicine
Ludwig Maximilian University of Munich Germany
prediction error estimation
prediction modeling
machine learning
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Chunming Zhang
University of Wisconsin–Madison United States of America
semi-parametric estimation
non-parametric estimation
machine learning
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Hyonho Chun
Purdue University United States of America
covariance estimation
nonparametric function estimation
machine learning
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Nathan Srebro
University of Chicago United States of America
collaborative filtering
machine learning
probabilistic modeling
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Arash Mohammadi
Concordia University Canada
state estimation
machine learning
image processing
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Andrei Volodin
University of Regina Canada
estimation of modes
wavelet estimation for density functions
bayesian estimation methods
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Ryan Tibshirani
University of California, Berkeley United States of America
nonparametric estimation
machine learning
probabilistic forecasting
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John Mcarthur
University of Southern California United States of America
optimal estimation
particle filters
image processing
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Hans Knutsson
Linköping University Sweden
spatio-temporal filtering
machine learning
image processing
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Junyao Xie
University of Guelph Canada
machine learning
predictive modeling
moving horizon estimation
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George Azzopardi
University of Groningen Netherlands
machine learning
predictive analysis
image processing
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Karima Dyussekeneva
University College London United Kingdom
machine learning
forecasting
predictive analytics
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Carola Schönlieb
University of Cambridge United Kingdom
machine learning
image analysis
image processing
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Amy Reibman
Purdue University United States of America
image quality estimation
video quality estimation
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Philipp Sterzinger
London School of Economics United Kingdom
estimation
machine learning
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Barry Croke
Australian National University Australia
water quality estimation
streamflow prediction
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Abraham Haddad
Northwestern University United States of America
estimation
filtering hybrid nonlinear systems
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George Pappas
University of Pennsylvania United States of America
estimation
machine learning
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Dinesh Jayaraman
University of Pennsylvania United States of America
estimation
machine learning
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