2019 IEEE SPS Summer School on Digital Processing of Visual Signals and Applications
May 7-9, 2019 Registration Deadline: TBD Location: Porto Alegre, Brazil Website
Read morePast SPS Conferences and Events
This page contains past SPS Conferences & Workshop starting from 2011. Original conference or workshop websites have been archived and stored whenever possible. Events can include virtual events such as webinars, lectures, seasonal schools and more.
Anna Scaglione (Arizona State University, USA)
Lecture Date: April 29, 2019 Chapter: Hong Kong Chapter Chair: Lai-Man Po Topic: Distributed Algorithms for Principal Component Analysis
Read moreTao Zhang (Futurewei Technologies, USA)
Lecture Date: April 25-26, 2019 Chapter: Dallas Chapter Chair: Issa Panahi Topic: Robust and Practical Approaches to the Cocktail Party Problem for…
Read moreTao Zhang (Futurewei Technologies, USA)
Lecture Date: April 19, 2019 Chapter: Toronto Chapter Chair: Mehnaz Shokrollahi Topic: Solving the Cocktail Party Problem for Hearing Aids: Solutions…
Read moreWing-Kin (Ken) Ma (The Chinese University of Hong Kong)
Lecture Date: April 18-19, 2019 Chapter: Nanjing Chapter Chair: Luxi Yang Topic: Hyperspectral Unmixing: Insights and Beyond
Read more(IPSN 2019) 2019 18th ACM/IEEE Conference on Information Processing in Sensor Networks
April 16-18, 2019 Location: Montreal, QC, Canada
Read moreWing-Kin (Ken) Ma (The Chinese University of Hong Kong)
Lecture Date: April 16, 2019 Chapter: Shanghai Chapter Chair: Xinbing Wang Topic: Hyperspectral Unmixing: Insights and Beyond
Read moreTao Zhang (Futurewei Technologies, USA)
Lecture Date: April 15, 2019 Chapter: Atlanta Chapter Chair: Alessio Medda Topic: Tackling the Cocktail Party Problem for Hearing Devices: Solutions,…
Read more(ISBI 2019) 2019 IEEE International Symposium on Biomedical Imaging (ISBI)
April 8-11, 2019 Location: Venice, Italy
Read moreWing-Kin (Ken) Ma (The Chinese University of Hong Kong)
Lecture Date: April 2, 2019 Chapter: SPS Western Australia Chapter Chapter Chair: Sven Nordholm Topic: Hyperspectral Unmixing: Insights and Beyond
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