Sensory Recognition Professors in Global

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Du Huynh
University of Western Australia Australia
pattern recognition
object detection
machine learning
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Ralf Schlüter
RWTH Aachen University Germany
pattern recognition
automatic speech recognition
machine learning
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Anil Bharath
Imperial College London United Kingdom
pattern recognition
signal processing
machine learning
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Wolfgang Stummer
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
pattern recognition
signal processing
machine learning
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Jean-françois Lalonde
Laval University Canada
pattern recognition
signal processing
machine learning
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Inma Tomeo-reyes
University of New South Wales Australia
pattern recognition
signal processing
machine learning
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Alexandra Branzan Albu
University of Victoria Canada
pattern recognition
signal processing
machine learning
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Roland Goecke
University of New South Wales Australia
pattern recognition
machine learning
social signal processing
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Rama Chellappa
Johns Hopkins University United States of America
pattern recognition
machine learning
image signal processing
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Nizar Bouguila
Concordia University Canada
pattern recognition
machine learning
image signal processing
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Sanjeev Kulkarni
Princeton University United States of America
sensor networks
statistical pattern recognition
signal processing
machine learning
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Tianxing Li
Michigan State University United States of America
human sensing systems
mobile sensing
signal processing
machine learning
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Zheng Liu
University of British Columbia Canada
intelligent sensing
machine learning
machine vision
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Shrikanth Narayanan
University of Southern California United States of America
human-centered sensing
signal processing
machine learning
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Shrikanth Narayanan
University of Southern California United States of America
human-centered sensing
signal processing
machine learning
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Alejandro Murua
University of Montreal Canada
object identification
signal processing
machine learning
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Sreeraman Rajan
Carleton University Canada
sensors
sensor systems
signal processing
compressive sensing
machine learning
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Holger Rauhut
Ludwig-Maximilians-Universität München Germany
signal processing
compressive sensing
machine learning
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Pietro Borghesani
University of New South Wales Australia
signal processing
vibration sensing
machine learning
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Iris Tien
Georgia Institute of Technology United States of America
signal processing
machine learning
sensing data analytics
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Vidhyasaharan Sethu
University of New South Wales Australia
speech-based emotion recognition
machine learning
speech signal processing
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