Digital Signal Processing For Pattern Recognition Professors in Global

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Jeffrey Krolik
Duke University Singapore
physics-based statistical signal processing
pervasive distributed processing
machine learning
sensor array processing
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Jeffrey Krolik
Duke University Singapore
physics-based statistical signal processing
pervasive distributed processing
sensor array processing
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Jeffrey Krolik
Duke University Singapore
physics-based statistical signal processing
pervasive distributed processing
sensor array processing
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Jan Boehm
University College London United Kingdom
3d data processing
geometric processing
machine learning
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Ralf Peeters
Maastricht University Netherlands
signal image processing
pattern recognition feature extraction
machine learning
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Ralf Peeters
Maastricht University Netherlands
signal image processing
pattern recognition feature extraction
machine learning
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Jaroslav Fowkes
University of Oxford United Kingdom
statistical pattern mining
machine learning
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Klaus Obermayer
Technical University of Berlin Germany
neural information processing
machine learning
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Enrique Hortal Quesada
Maastricht University Netherlands
bio signal processing
deep learning
machine learning
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Jan Karlshøj
Technical University of Denmark Denmark
data modeling
process modeling
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Tie Liu
Texas A&M University United States of America
statistical information processing
machine learning
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Hui Jiang
York University Canada
statistical pattern classification
natural language processing
machine learning
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Hui Jiang
York University Canada
statistical pattern classification
audio processing
natural language processing
speech processing
machine learning
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Kristoffer Christensen
University of Southern Denmark Denmark
automated data processing
machine learning
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Roger Mark
Massachusetts Institute of Technology United States of America
physiological signal processing
machine learning
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Markus Becherer
Technical University of Munich Germany
spin-based signal processing
nanoscale patterning
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Elia Formisano
Maastricht University Netherlands
neural signal analysis
machine learning
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Pierre Vandergheynst
École Polytechnique Fédérale de Lausanne Switzerland
signal processing
image processing
mathematical data processing
machine learning
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Guillermo Sapiro
Duke University Singapore
mathematical image processing
machine learning
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Jan Boehm
University College London United Kingdom
3d data processing
machine learning
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Omair Shafiq
Carleton University Canada
data modeling
machine learning
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