Recognition Theory Professors in Global

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Cai Kui
Singapore University of Technology and Design Singapore
information theory
communication theory
coding theory
machine learning
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Babak Hassibi
California Institute of Technology United States of America
information theory
group representation theory
communications theory
machine learning
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Babak Hassibi
California Institute of Technology United States of America
information theory
group representation theory
communications theory
machine learning
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Eilyan Bitar
Cornell University Netherlands
information theory
game theory
machine learning
control theory
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Yun Cheung
Australian National University Australia
theory of computation
game theory
machine learning
social choice theory
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Hermann Ney
RWTH Aachen University Germany
sign language recognition
image object recognition
machine learning
text image recognition
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Marios Savvides
Carnegie Mellon University United States of America
face recognition
machine learning
face detection
object detection
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Rui Pires Da Silva Castro
Eindhoven University of Technology Belgium
pattern recognition
learning theory
network inference
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Chin-hui Lee
Georgia Institute of Technology United States of America
pattern recognition
speech recognition
machine learning
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Ryan O'donnell
Carnegie Mellon University United States of America
learning theory
information theory
probability theory
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Ralf Schlüter
RWTH Aachen University Germany
pattern recognition
decision theory
machine learning
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John Daugman
University of Cambridge United Kingdom
pattern recognition
information theory
neural computing
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Allison Sekuler
McMaster University Canada
object recognition
face recognition
perceptual learning
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John Oommen
Carleton University Canada
pattern recognition
statistical pattern recognition
syntactic pattern recognition
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Hjalmar Rosengren
Chalmers University of Technology Sweden
representation theory
number theory
probability theory
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Aaron Roth
University of Pennsylvania United States of America
learning theory
game theory
machine learning
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Pascal Vincent
University of Montreal Canada
pattern recognition
representation learning
machine learning
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Ke Chen
University of Manchester United Kingdom
pattern recognition
machine perception
machine learning
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Deepam Patel
Purdue University United States of America
representation theory
model theory
number theory
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Mark Ward
Purdue University United States of America
information theory
probability theory
game theory
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Stephen Roberts
University of Oxford United Kingdom
information theory
decision theory
machine learning
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