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Lectures

Hamid Krim (NC State University, USA)

Lecture Date: November 7, 2016
Chapter: Beijing
Chapter Chair: Qiuqi Ruan
Topic: Convexity, Sparsity, Nullity and all that....in Machine Leaning

Yoram Bresler (University of Illinois, USA)

Lecture Date: August 24, 2016
Chapter: Oakland East Bay
Chapter Chair: Ron Kane
Topic: Learning Sparsifying Transforms for Signal, Image, and Video Processing

Yoram Bresler (University of Illinois, USA)

Lecture Date: August 25, 2016
Chapter: Santa Clara Valley
Chapter Chair: Iole Moccagatta
Topic: Learning Sparsifying Transforms for Signal, Image, and Video Processing

Peyman Milanfar (Google Research)

Lecture Date: November 4, 2016
Chapter: Eastern North Carolina
Chapter Chair: Huaiyu Dai
Topic: Graph Laplacian Operator: The Swiss Army Knife of Image Processing

Josiane Zerubia (INRIA, Sophia-Antipolis Méditerranée)

Lecture Date: September 30, 2016
Chapter: Phoenix
Chapter Chair: Andreas Spanias
Topic: Marked Point Processes for Object Detection in High Resolution Images: Applications to Earth Observation and Cartography

Josiane Zerubia (INRIA Sophia-Antipolis Méditerranée)

Lecture Date: October 3, 2016
Chapter: Atlanta
Chapter Chair: Alessio Meda
Topic: High Resolution Optical and SAR Satellite Image Processing for Disaster Management Using Hierarchical MRFs

Yoram Bresler (University of Illinois, USA)

Lecture Date: October 31, 2016
Chapter: Schenectady
Chapter Chair: Javad Heydari
Topic: Learning Sparsifying Transforms for Signal, Image, and Video Processing

 

Yoram Bresler (University of Illinois, USA)

Lecture Date: November 23, 2016
Chapter: South Brazil South Region
Chapter Chair: Guilherme Holsbach Costa
Topic: Learning Sparsifying Transforms for Signal, Image, and Video Processing

Yoram Bresler (University of Illinois, USA)

Lecture Date: October 20, 2016
Chapter: Gujarat
Chapter Chair: Chirag Paunwala
Topic: Origin of Compressed Sensing

Yoram Bresler (University of Illinois, USA)

Lecture Date: October 19, 2016
Chapter: Delhi
Chapter Chair: Angshul Majumdar
Topic: Origin of Compressed Sensing

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