Distinguished Lecture: 23 December 2022, Hiroshi Sawada (NTT Communication Science Laboratories)
Lecture Date: December 23, 2022
Chapter: Tokyo Chapter
Chapter Chair: Koichi Shinoda
Title: Basic concepts and methods of blind source separation
Augmented reality devices of the future will likely fuse sensor data from several modalities, allowing multichannel speech enhancement algorithms to exploit, for example, head orientation and accurately estimated source directions.
Lecture Date: December 23, 2022
Chapter: Tokyo Chapter
Chapter Chair: Koichi Shinoda
Title: Basic concepts and methods of blind source separation
Lecture Date: October 21, 2022
Chapter: Atlanta Chapter
Chapter Chair: Wendy Newcomb
Topic: Customized Federated Learning to the Edge
Date: 26 March-4 April 2023
Chapter: Victoria (Australia) Chapter
Chapter Chair: Jonathon Manton
Title: Understanding the Universality Phenomena in High-Dimensional Estimation and Learning: Some Recent Progress
Engineer Mustafa Mumtaz
Email: mustafamumtaz672@gmail.com
Date of Birth:18 December, 1984
Google Scholar Link: http://scholar.google.com.pk/citations?user=tenhlTYAAAAJ
ACM Digital Library Link: http://dl.acm.org/author_page.cfm?id=81456626504
Research Interest:
Digital Image Processing
Biometrics
Telecommunications
Voice conversion (VC) is a significant aspect of artificial intelligence. It is the study of how to convert one’s voice to sound like that of another without changing the linguistic content.
Date: October 19, 2022
Time: 3:00 PM (Paris Time)
Title: Learning from Unreliable Labels via Crowdsourcing
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OJSP has initiated an enhanced reproducibility initiative for learning-based papers, i.e., papers where the primary results are obtained using a trained computational model, such as a deep neural network or a dictionary representation.
Crowdsourcing has emerged as a powerful paradigm for tackling various machine learning, data mining, and data science tasks, by enlisting inexpensive crowds of human workers, or annotators, to accomplish learning and inference tasks.
Date: October 4, 2022
Time: 4:00 PM (Central European Time (CET))
Title: Multi-Frequency Functional Connectivity Networks of the Brain
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