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Anomaly Detection
Anomaly Detection Professors in Global
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Professor
Kristen Grauman
University of Texas at Austin
United States of America
object activity recognition
machine learning
unsupervised visual discovery
visual recognition
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Professor
Guofei Gu
Texas A&M University
United States of America
anomaly detection
intrusion detection
botnet detection
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Professor
Anastasia Giachanou
Utrecht University
Netherlands
fake news detection
bot detection
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Professor
Rui Pires Da Silva Castro
Eindhoven University of Technology
Belgium
pattern recognition
network inference
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Professor
Dirk Colbry
Michigan State University
United States of America
pattern recognition
machine vision
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Professor
Majid Ahmadi
University of Windsor
Canada
pattern recognition
machine vision
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Professor
Majid Ahmadi
University of Windsor
Canada
pattern recognition
machine vision
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Professor
Irwin Donis-gonzalez
University of California
United States of America
pattern recognition
machine vision
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Professor
Kavita Bala
Cornell University
Netherlands
material recognition
visual search detection
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Professor
Decker French
University of Illinois
United States of America
optical observations
radio observations
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Professor
Torbjörn Bäck
KTH Royal Institute of Technology
Sweden
exotic nuclear phenomena
radon detection
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Professor
Maria Amer
Concordia University
Canada
object detection
activity recognition
object tracking
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Professor
Jan Ambjørn
University of Copenhagen
Denmark
random paths
random surfaces
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Professor
Tengyao Wang
London School of Economics
United Kingdom
change-point detection
statistical learning-assisted material discovery
sparse signal detection
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Professor
Pietro Perona
California Institute of Technology
United States of America
machine learning
visual recognition
machine vision
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Professor
Kaamran Raahemifar
Pennsylvania State University
United States of America
anomaly detection testing
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Professor
Mikhail Glazunov
Delft University of Technology
Netherlands
unsupervised anomaly detection
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Professor
Marc Frappier
University of Sherbrooke
Canada
unsupervised anomaly detection
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Professor
Danai Koutra
University of Michigan
United States of America
graph anomaly event detection
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Professor
Scott Manalis
Massachusetts Institute of Technology
United States of America
detection and monitoring
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Professor
Panagiotis Charalampopoulos
King's College London
United Kingdom
regularity detection
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