Virtual Meetings During the COVID-19 Pandemic
The IEEE Signal Processing Society (SPS) would like to express our concern and support for the members of our global community and all affected by…
Read moreVirtual Meetings During the COVID-19 Pandemic
The IEEE Signal Processing Society (SPS) would like to express our concern and support for the members of our global community and all affected by…
Read moreTulay Adali (University of Maryland Baltimore County, USA)
Lecture Date: November 18, 2019
Chapter: Chile
Chapter Chair: Nestor Becerra Yoma
Topic: Data Fusion and Analysis Through Matrix and Tensor
Factorizations: Uniqueness, Diversity and Applications
Tulay Adali (University of Maryland Baltimore County, USA)
Lecture Date: October 15, 2019
Chapter: Thailand
Chapter Chair: Supavadee Aramvith
Topic: Data Fusion Through Matrix and Tensor Factorizations:
An Overview of Solutions, Challenges, and Prospects
Tulay Adali (University of Maryland Baltimore County, USA)
Lecture Date: March 8, 2019
Chapter: San Diego
Chapter Chair: Delbert Fugal
Topic: Data Fusion Through Matrix and Tensor Factorizations:
On Current Solutions, Challenges, and Prospects
Tulay Adali (University of Maryland Baltimore County, USA)
Lecture Date: December 10, 2018
Chapter: Victorian Australia
Chapter Chair: Abd-Krim Seghuane
Topic: Data Fusion Through Matrix and Tensor Factorizations:
Uniqueness, Diversity, and Interpretability
Tulay Adali (University of Maryland Baltimore County, USA)
Lecture Date: November 21, 2018
Chapter: Western Australia
Chapter Chair: Sven Nordholm
Topic: Data Fusion Through Matrix and Tensor Factorizations:
On Current Solutions and Challenges
Petros Maragos (National Technical University, Athens)
Lecture Date: September 9-10, 2018
Chapter: Gujarat
Chapter Chair: Suman Mitra
Topic: Lecture 1: Nonlinear Aspects of Speech Production: Modulations and Energy Operators
Lecture 2: Nonlinear Aspects of Speech Production: Fractals and Chaotic Dynamics
Jan Allebach (Purdue University, USA)
Lecture Date: May 1, 2018
Chapter: Santa Clara Valley
Chapter Chair: Pavel Tcherniaev
Topic: Small, Medium, and Big Data: Application of Machine
Learning Methods to the Solution of
Real-World Imaging and Printing Problems