Approximate Pattern Matching Professors in Global

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Jaime Ide

Yale University United States of America
pattern recognition
theoretical modeling
predictive modeling
machine learning
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Debdeep Pati

University of Wisconsin–Madison United States of America
approximate bayesian methods
point pattern data modeling
machine learning
real-time tracking algorithms
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Professor

Samir Maity

Aalborg University Denmark
imprecise modeling
predictive modeling
machine learning
language modeling
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John Oommen Professor Profile

John Oommen

Carleton University Canada
pattern recognition
statistical pattern recognition
syntactic pattern recognition
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Armin Iske Professor Profile

Armin Iske

University of Hamburg Germany
numerical approximation
kernel-based approximation methods
machine learning
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Professor

Nipanjana Patra

University of Western Australia Australia
pattern detection
machine learning
precision calibration
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Ziyang Lyu Professor Profile

Ziyang Lyu

University of New South Wales Australia
pattern recognition
mixed models
machine learning
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Professor

Qiufeng Wang

Xi’an Jiaotong–Liverpool University China
pattern recognition
machine learning
language modeling
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Federico De Martino Professor Profile

Federico De Martino

Maastricht University Netherlands
pattern recognition
machine learning
predictive coding
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Holger Rauhut Professor Profile

Holger Rauhut

Ludwig-Maximilians-Universität München Germany
approximation theory
machine learning
random matrices
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Professor

Paul Fieguth

University of Waterloo Canada
pattern analysis
machine learning
statistical modeling
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Ralf Peeters Professor Profile

Ralf Peeters

Maastricht University Netherlands
pattern recognition feature extraction
mathematical modelling
machine learning
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Sreeraman Rajan Professor Profile

Sreeraman Rajan

Carleton University Canada
pattern classification
machine learning
adaptive signal processing
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Jeff Bilmes Professor Profile

Jeff Bilmes

University of Washington United States of America
pattern classification
machine learning
statistical modeling
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Professor
Prasanth Nair Professor Profile

Prasanth Nair

University of Toronto Institute for Aerospace Studies Canada
approximation functions
bayesian model calibration
machine learning
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Professor

Jeff Bilmes

University of Washington United States of America
pattern classification
machine learning
statistical modeling
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Professor
Bruce Henry Professor Profile

Bruce Henry

University of New South Wales Australia
mathematical modeling
pattern formation
stochastic modeling
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Professor
Angelika Rohde Professor Profile

Angelika Rohde

University of Freiburg Germany
parametrix approximation
random matrices
convergence analysis
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Jon Chapman Professor Profile

Jon Chapman

University of Oxford United Kingdom
asymptotic approximation of eigenvalues
mathematical modelling
matched asymptotic expansions
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Babak Hassibi Professor Profile

Babak Hassibi

California Institute of Technology United States of America
adaptive statistical signal processing
machine learning
random matrices
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Professor
Joakim Munkhammar Professor Profile

Joakim Munkhammar

Uppsala University Sweden
mathematical modeling
machine learning
statistical modeling
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