Statistical Methods For Large Scale Imaging Data Professors in Global

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James Nichols
Australian National University Australia
statistical learning techniques
high dimensional statistics
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Pascale Jablonka
École Polytechnique Fédérale de Lausanne Switzerland
spectroscopic methods
photometric methods
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Qixing Huang
University of Texas at Austin United States of America
large-scale optimization
statistical data analysis
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Andrew Beale
University College London United Kingdom
spectroscopic methods
chemical imaging techniques
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Yanrong Yang
Australian National University Australia
high dimensional statistics
large panel data analysis
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Roger Bryant
Purdue University United States of America
spectroscopic methods
spectrometric methods
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J Okeme
McMaster University Canada
modelling methods
analytical methods
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Chenxi Huang
Yale University United States of America
imaging modalities
high-dimensional data
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Ehsan Samei
Duke University Singapore
simulation methods
imaging models
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Lingzhou Xue
Pennsylvania State University United States of America
large-scale optimization
high-dimensional data
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Ehsan Samei
Duke University Singapore
simulation methods
theoretical imaging models
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Adriano Polpo
University of Western Australia Australia
resampling techniques
classification methods
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Stefan Huber
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
optical measurement techniques
measurement methods
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Changbao Wu
University of Waterloo Canada
resampling techniques
empirical likelihood methods
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Dave Armstrong
Western University Canada
statistical models
data mining techniques
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Xiao Liu
University of Texas at Austin United States of America
statistical methods in education
machine learning methods
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Chiara Sabatti
Stanford University United States of America
statistical models
high-dimensional data
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Sepehr Assadi
University of Waterloo Canada
massive datasets
big data analysis
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Dmitri Loguinov
Texas A&M University United States of America
massive-scale information retrieval
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Roy Dudley
McGill University Canada
novel imaging techniques
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Wen-chih Wu
Brown University United States of America
novel imaging techniques
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