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Filtering Estimation
Filtering Estimation Professors in Global
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Professor
Sharon Ong
Tilburg University
Netherlands
stochastic filtering
bayesian estimation
machine learning
image analysis
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Professor
Professorship Biometry Molecular Medicine
Ludwig Maximilian University of Munich
Germany
prediction error estimation
prediction modeling
machine learning
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Professor
Nathan Srebro
University of Chicago
United States of America
collaborative filtering
machine learning
probabilistic modeling
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Professor
Chunming Zhang
University of Wisconsin–Madison
United States of America
semi-parametric estimation
non-parametric estimation
machine learning
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Professor
Stanley Chan
Purdue University
United States of America
estimation theory
machine learning
image analysis
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Professor
Arash Mohammadi
Concordia University
Canada
state estimation
machine learning
image processing
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Professor
Ryan Tibshirani
University of California, Berkeley
United States of America
nonparametric estimation
machine learning
probabilistic forecasting
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Professor
John Mcarthur
University of Southern California
United States of America
optimal estimation
particle filters
image processing
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Professor
Andrei Volodin
University of Regina
Canada
estimation of modes
wavelet estimation for density functions
bayesian estimation methods
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Professor
Hans Knutsson
Linköping University
Sweden
spatio-temporal filtering
machine learning
image processing
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Professor
George Azzopardi
University of Groningen
Netherlands
machine learning
predictive analysis
image processing
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Professor
Carola Schönlieb
University of Cambridge
United Kingdom
machine learning
image analysis
image processing
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Professor
Karima Dyussekeneva
University College London
United Kingdom
machine learning
forecasting
predictive analytics
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Professor
Mert Sabuncu
Cornell University
Netherlands
machine learning
probabilistic modeling
image processing
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Professor
Philipp Sterzinger
London School of Economics
United Kingdom
estimation
machine learning
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Professor
Dinesh Jayaraman
University of Pennsylvania
United States of America
estimation
machine learning
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Professor
George Pappas
University of Pennsylvania
United States of America
estimation
machine learning
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Professor
Mohamedou Ould Haye
Carleton University
Canada
estimation
forecasting
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Professor
Michael Mcguire
University of Victoria
Canada
adaptive filtering
model-based filtering
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Professor
Jose Gonzales-cueto
Dalhousie University
Canada
adaptive filtering
signal parameter estimation
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Professor
Anthony Patera
Massachusetts Institute of Technology
United States of America
parameter estimation
a posteriori error estimation
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