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Lectures

Paris Smaragdis (Siebel Center for Computer Science, USA)

Lecture Date: October 25, 2016
Chapter: Atlanta
Chapter Chair: Alessio Medda
Topic: Machine Learning Approaches for Speech Enhancement

Min Wu (University of Maryland, USA)

Lecture Date: September 22, 2016
Chapter: Montreal
Chapter Chair: Benoit Champagne
Topic: Micro-Signal Analytics for Multimedia Forensics

Gaurav Sharma (University of Rochester, USA)

Lecture Date: December 10-12, 2016
Chapter: Uttar Pradesh
Chapter Chair: Uma Tiwary
Topics:
Large Scale Visual Analytics for Wide Area Motion Imagery
Probabilistic Decoding in Communications: A Turbo Approach
High Capacity Data Hiding for Printed Images

Tulay Adali (University of Maryland Baltimore County, USA)

Lecture Date: October 24, 2016
Chapter: Delhi
Chapter Chair: Angshul Majumdar
Topic: Data Fusion Using Source Separation: Role of Statistical Diversity and Applications in Medical Imaging

Tulay Adali (University of Maryland Baltimore County, USA)

Lecture Date: October 20, 2016
Chapter: Gujarat
Chapter Chair: Chirag N. Paunwala
Topic: Data-Driven Analysis of Medical Imaging Data: Overview, Challenges, and Prospects

Hynek Hermansky (Johns Hopkins University, USA)

Lecture Date: October 7, 2016
Chapter: Germany
Chapter Chair: Wolfgang Utschick

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

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