Lectures

 

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27 Apr

Yoram Bresler (University of Illinois, USA)

Lecture Date: April 21, 2017
Chapter: Utah
Chapter Chair: Joel Harley
Topic: The Invention of Compressive Sampling

14 Mar

Josiane Zerubia (INRIA, Sophia-Antipolis Méditerranée)

Lecture Date: March 14, 2017
Chapter: UAE
Chapter Chair: Sharif Bayan
Topic: Marked Point Processes For Object Detection and Tracking in High
Resolution Images: Applications to Remote Sensing and Biology

12 Mar

Josiane Zerubia (INRIA, Sophia-Antipolis Méditerranée)

Lecture Date: March 12, 2017
Chapter: UAE
Chapter Chair: Bayan Sharif
Topic: High High Resolution Optical and SAR Satellite Image Processing for Disaster
Management Using Hierarchical MRFs

07 Sep

Hermann Ney (RWTH Aachen University, Germany)

Lecture Date: September 7, 2017
Chapter: Italy
Chapter Chair: Stefano Tubaro
Topic: Speech Recognition and Machine Translation: From Statistical Decision Theory to Machine Learning and Deep Neural Networks

04 Sep

Peyman Milanfar (Google Research)

Lecture Date: September 4, 2017
Chapter: Italy
Chapter Chair: Stefano Tubaro
Topic: Regularization by Denoising - A generalized Laplacian framework

23 Mar

Yoram Bresler (University of Illinois, USA)

Lecture Date: March 23, 2017
Chapter: Thailand
Chapter Chair: Supavadee Aramvith
Topic: TBD

20 Mar

Yoram Bresler (University of Illinois, USA)

Lecture Date: March 20, 2017
Chapter: Singapore
Chapter Chair: Stefan Winkler
Topic: TBD

28 Mar

Josiane Zerubia (INRIA, Sophia-Antipolis Méditerranée)

Lecture Date: March 28, 2017
Chapter: Morocco
Chapter Chair: Driss Aboutajdine
Topic: Marked Point Processes for Object Detection and Tracking in Highr Resolution Images:
Applications to Remote Sensing and Biology

22 Feb

Nalini K. Ratha (IBM Research, USA)

Lecture Date: February 22, 2017
Chapter: Delhi
Chapter Chair: Angshul Majumdar
Topic: Adversarial Deep Learning

05 May

Athina Petropolu (Rutgers University)

Lecture Date: May 5, 2017
Chapter: Long Island
Chapter Chair: Jessica Donaldson
Topic: Cooperative Approaches for Improving the Performance of Wireless Networks

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Signal Processing and Machine Learning

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