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Lectures

Geert Leus (Delft University of Technology)

Lecture Date: October 11, 2018
Chapter: Ukraine
Chapter Chair: Rustem Sinistyn
Topic: Graph Signal Processing

Bhiksha Raj (Carnegie Mellon University, USA)

Lecture Date: June 13, 2018
Chapter: Sendai
Chapter Chair: Kazuhiro Kondo
Topic: Generating adversarial examples with a neural network

Bhiksha Raj (Carnegie Mellon University, USA)

Lecture Date: June 11 & 14, 2018
Chapter: Tokyo
Chapter Chair: Shoji Makino
Topic: What is a neural network (Tokyo), What is a neural network (Sapporo)

Bhiksha Raj (Carnegie Mellon University, USA)

Lecture Date: June 8, 2018
Chapter: Kansai
Chapter Chair: Tatsuya Kawahara
Topic: Generating adversarial examples with a neural network

Michael Picheny (IBM Research)

Lecture Date: July 3, 2018
Chapter: Turkey
Chapter Chair: Murat Saraclar
Topic: Speech Recognition: What’s Left?

Wing-Kin (Ken) Ma (The Chinese University of Hong Kong)

Lecture Date: June 1 & 7, 2018
Chapter: France 
Chapter Chair: William Puech
Topic: (1) Hyperspectral Unmixing in Remote Sensing: Learn the
Wisdom There and Go Beyond (Machine Learning Included)
(2) MIMO Transceiver Designs and Optimization: Beyond Beamforming and
Perfect Channel Information

Wing-Kin (Ken) Ma (The Chinese University of Hong Kong)

Lecture Date: June 5, 2018
Chapter: Benelux 
Chapter Chair: Francois Horlin
Topic: Hyperspectral Unmixing in Remote Sensing: Learn the
Wisdom There and Go Beyond (Machine Learning Included)

Wing-Kin (Ken) Ma (The Chinese University of Hong Kong)

Lecture Date: April 4, 2018
Chapter: Chengdu 
Chapter Chair: Qian He
Topic: Hyperspectral Unmixing in Remote Sensing: Learn the
Wisdom There and Go Beyond (Machine Learning Included)

Michael Picheny (IBM Research)

Lecture Date: May 30, 2018
Chapter: Philadelphia
Chapter Chair: Michael Mayor
Topic: Speech Recognition: What’s Left?

Rama Chellappa (University of Maryland, USA)

Lecture Date: July 9, 2018
Chapter: Singapore
Chapter Chair: Hong Cao
Topic: (1) Unconstrained Face Analytics
(2) Domain Adaptation using Manifolds, Dictionaries and Deep Features

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