SPS Distinguished Lectures

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SPS Distinguished Lectures

Janusz L. Konrad (Boston University, USA)

Lecture Date: January 10, 2020
Chapter: Gujarat
Chapter Chair: Suman K. Mitra
Topic: User Authentication for Natural User Interfaces

Janusz L. Konrad (Boston University, USA)

Lecture Date: January 8, 2020
Chapter: New Delhi
Chapter Chair: Anubha Gupta
Topic: Privacy-Preserving Localization and Recognition of Human Activities

Anna Scaglione (Arizona State University, USA)

Lecture Date: January 13, 2020
Chapter: Oregon
Chapter Chair: Jinsub Kim
Topic: Modeling and learning social influence from opinion dynamics under attack

Pedro J. Moreno (Google, USA)

Lecture Date: November 11, 2019
Chapter: Tokyo
Chapter Chair: Kazuya Takeda
Topic: Speech technologies at google: an overview

Anna Scaglione (Arizona State University, USA)

Lecture Date: December 20, 2019
Chapter: Kharagpur
Chapter Chair: Pranab Dutta
Topic: Distributed Algorithms for Principal Component Analysis

Anna Scaglione (Arizona State University, USA)

Lecture Date: December 19, 2019
Chapter: Dhaka
Chapter Chair: Celia Shehnaz
Topic: Distributed Algorithms for Principal Component Analysis

Janusz L. Konrad (Boston University, USA)

Lecture Date: November 8, 2019
Chapter: Central Indiana
Chapter Chair: John Mott
Topic: Privacy-Preserving Localization and Recognition of Human Activities

Israel Cohen (Israel Institute of Technology, Israel)

Lecture Date: December 6, 2019
Chapter: Rio de Janeiro
Chapter Chair: Markus V. Lima
Topic: Optimal Multichannel Signal Enhancement
Audio-Visual Voice Activity Detection Using Deep Neural Networks

Israel Cohen (Israel Institute of Technology, Israel)

Lecture Date: December 4-5, 2019
Chapter: South Brazil
Chapter Chair: Vanessa Testoni
Topic: Audio-Visual Voice Activity Detection Using Deep Neural Networks

Israel Cohen (Israel Institute of Technology, Israel)

Lecture Date: December 2-3, 2019
Chapter: Chile
Chapter Chair: Nestor B. Yoma
Topic: Optimal Multichannel Signal Enhancement
Audio-Visual Voice Activity Detection Using Deep Neural Networks

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