Pattern Recognition Professors in Global

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Pascal Vincent
University of Montreal Canada
pattern recognition
machine learning
deep learning
representation learning
neural networks
statistical models
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Sankaran Iyer
University of New South Wales Australia
object detection
pedestrian detection
anomaly detection
deep learning
computer vision
behavior analysis
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Atsuto Maki
KTH Royal Institute of Technology Sweden
machine learning
motion object recognition
deep learning
representation learning
computer vision
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Ekta Vats
Uppsala University Sweden
machine learning
human action recognition
deep learning
optical character recognition
computer vision
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Gerasimos Spanakis
Maastricht University Netherlands
machine learning
deep learning
computational modeling
neural networks
topic detection
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A.c.c. Coolen
Radboud University Netherlands
machine learning
neural networks
random networks
predictive analysis
statistical inference
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Nicolas Le Roux
University of Montreal Canada
machine learning
deep learning
statistical modeling
computer vision
neural networks
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John Oommen
Carleton University Canada
pattern recognition
statistical pattern recognition
syntactic pattern recognition
neural networks
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Joshua Peeples
Texas A&M University United States of America
pattern recognition
machine learning
deep learning
computer vision
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Du Huynh
University of Western Australia Australia
pattern recognition
machine learning
object detection
computer vision
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Ke Chen
University of Manchester United Kingdom
pattern recognition
machine learning
machine perception
computer vision
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Kin-choong Yow
University of Regina Canada
pattern recognition
machine learning
deep learning
computer vision
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Divya Sharma
York University Canada
pattern recognition
machine learning
deep learning
computer vision
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George Azzopardi
University of Groningen Netherlands
pattern recognition
machine learning
deep learning
predictive analysis
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Vishnu Boddeti
Michigan State University United States of America
pattern recognition
machine learning
deep learning
computer vision
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Alexandra Branzan Albu
University of Victoria Canada
pattern recognition
machine learning
deep learning
computer vision
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Allison Sekuler
McMaster University Canada
pattern vision
object recognition
face recognition
perceptual learning
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Jeff Bilmes
University of Washington United States of America
pattern classification
speech recognition
machine learning
statistical modeling
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Jeff Bilmes
University of Washington United States of America
pattern classification
speech recognition
machine learning
statistical modeling
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Marios Savvides
Carnegie Mellon University United States of America
face recognition
machine learning
object detection
face detection
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Yali Amit
University of Chicago United States of America
object recognition
speech recognition
computer vision
statistical models
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