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Machine Learning

24 Aug 26 Aug

2023 IEEE SPS Seasonal School on Speech and Voice Analysis and Modelling Challenges and Recent Advances

Date: 24-26 August 2023
Location: Hyderabad, India

10 Jul 15 Jul

2023 IEEE SPS Seasonal School on Advanced Signal Processing using Machine Learning Techniques

Date: 10-15 July 2023
Location: Hyderabad, India

18 Sep 22 Sep

2023 IEEE SPS / EURASIP Summer School on Metaverse Technologies

Date: 18-22 September 2023
Location: Cagliari, Italy

01 Aug 05 Aug

(ReSBiSIA_AI) 2023 IEEE SPS Seasonal School on Revolutionary Solutions for Biomedical Signal and Image Analysis using AI

Date: 1-5 August 2023
Location: Surat, India
Register

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13 Apr 17 Apr

2023 15th IEEE-EMBS International Summer School on Biomedical Imaging

Date: 13-17 April 2023
Registration Deadline: 20 February 2023
Location: Hotel Resort STELAR Plaza Manzanillo, Cartagena, Colombia
Event Brochure

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2023 Summer Seasonal School Website, Colombia
06 Mar 10 Mar

2023 IEEE SPS Seasonal School on Optical Signal Processing for Communication, Computing & Sensing

Date: 6-10 March 2023
Registration Deadline: 2 March 2023
Location: Chennai, India
Event Brochure

Website Link: 
2023 Seasonal School Website, Chennai, India
06 Sep

SPS Webinar: 6 September 2022 - IEEE TIFS article on Blockchain-Based Solution

Date: September 6, 2022
Time: 10:00 AM ET (New York Time)
Presenter: Dr. Nguyen Truong
Title: Decentralized Personal Data Management: A Blockchain-Based Solution
Registration | Full webinar details

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Webinar video
24 Aug.

Recent Advances of Deep Learning within X-ray Security Imaging

By: 
Dr. Samet Akcay

This blog explores modern deep learning applications as well as traditional machine learning techniques for automated X-ray security imaging.

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14 Sep 18 Sep

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(AMALGAM) - 2022 IEEE SPS Seasonal school on "Applications of MAchine Learning in SiGnal, ImAge & CoMputer Vision"

Date: September 14-18, 2022
Registration Deadline: N/A
Location: Uttarakhand, India

Website Link: 
Seasonal School Website
22 Jul.

Learning the MMSE Channel Estimator

By: 
David Neumann, Thomas Wiese, Wolfgang Utschick

Accurate channel estimation is a major challenge in the next generation of wireless communication networks. To fully exploit setups with many antennas, estimation errors must be kept small. This can be achieved by exploiting the structure inherent in the channel vectors. For example, line-of-sight paths result in highly correlated channel coefficients.

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