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Satoshi Nakamura received his B.S. degree in electronics engineering from Kyoto Institute of Technology, Kyoto, in 1981. He received his Ph.D. in informatics from Kyoto University in 1992. He was the Department Head and Director of ATR Spoken Language Communication Research Laboratories, Kyoto, Japan in the period of 2000-2008.
This webinar will demonstrate how deep learning can solve difficult communication problems that prior approaches often fail with two case studies. The first half will discuss a novel iterative BP-CNN architecture for channel decoding under correlated noise. This architecture concatenates a trained convolutional neural network (CNN) with a standard belief-propagation (BP) decoder.
Lecture Date: October 19, 2021 (Virtual Lecture)
Chapter: Hyderabad
Chapter Chair: Abhinav Kumar
Topic: Embeddings for Spoken Words
Lecture Date: September 28, 2021
Chapter: Oregon
Chapter Chair: Jinsub Kim
Topic: Data Fusion Through Matrix and Tensor Decompositions:
Overview of Solutions, Challenges, and Prospects
2 x Professor / Reader of Machine Learning and Artificial Intelligence
Department of Computer Science
University of Surrey
Guildford, UK
In accordance with the Bylaws of the IEEE Signal Processing Society, I am writing to solicit nominations for the Awards Board and the Nominations and Appointments (N&A) Committee. This year, the Society will be filling THREE positions on the N&A Committee for the term 2022-2023 and TWO positions on the Awards Board for the term 2022-2024. Nominations must be received no later than Friday, 24 September 2021.
It is my pleasure to announce that the IEEE Signal Processing Society (SPS) annual election will commence on 16 August, and your vote is more important than ever! This year, all eligible SPS Members will vote for the next President-Elect (term 1 January 2022 through 31 December 2023), in addition to the Regional Directors-at-Large for Regions 7 & 9 and 10 (term 1 January 2022 through 31 December 2023), and Members-at-Large (term 1 January 2022 through 31 December 2024) of the IEEE Signal Processing Society Board of Governors (BoG).
The IEEE Statistical Signal Processing (SSP) workshop is one of the foremost international conferences on statistical signal processing and its applications. The 22nd edition of SSP will be held from 3-6 July 2022 in Hanoi, the capital of Vietnam: a 1000-year-old city with a mix of rich history and modern appeal and proud of local culture and cuisine.
We study the dual problem of image super-resolution (SR), which we term image compact-resolution (CR). Opposite to image SR that hallucinates a visually plausible high-resolution image given a low-resolution input, image CR provides a low-resolution version of a high-resolution image, such that the low-resolution version is both visually pleasing and as informative as possible compared to the high-resolution image.
The Signal Processing Society (SPS) has 12 Technical Committees that support a broad selection of signal processing-related activities defined by the scope of the Society.
The IEEE Signal Processing Society has developed guidelines related to SPS Chapter social media and Chapter Activities.
Recognized worldwide as one of the leading experts in artificial intelligence, Yoshua Bengio is most known for his pioneering work in deep learning, earning him the 2018 A.M. Turing Award, “the Nobel Prize of Computing,” with Geoffrey Hinton and Yann LeCun. He is a Full Professor at Université de Montréal, and the Founder and Scientific Director of Mila - Quebec AI Institute.
The IEEE Signal Processing Society (SPS) invites nominations for the position of Editor-in-Chief for the following journal: Open Journal of Signal Processing for a 3-year term starting 1 January 2022. Nominations must be received no later than 1 October 2021. Full details can be found on the web.
IEEE Brain was formed in 2015 to create a technical community to facilitate cross-disciplinary collaboration and coordination to advance research, standardization, and development of engineering and technology to improve our understanding of the brain to treat diseases and to improve human condition. As an IEEE-wide effort, IEEE Brain unites engineering and computing expertise across IEEE Societies and Councils relevant to neuroscience, and provides an avenue for IEEE to work with multiple constituencies in academia, industry and government ...
The IEEE annual election begins on 16 August and ends on 1 October. All ballots must be received by 12:00 p.m. EDT USA/16:00 UTC. The IEEE Signal Processing Society is committed to ensuring that its members are prepared with sufficient information about the candidates in order to make their best informed decision.
Selin Aviyente received her B.S. degree with high honors in Electrical and Electronics engineering from Bogazici University, Istanbul in 1997. She received her M.S. and Ph.D. degrees, both in Electrical Engineering: Systems, from the University of Michigan, Ann Arbor, in 1999 and 2002, respectively. She joined the Department of Electrical and Computer Engineering at Michigan State University in 2002, where she is currently a Professor and Associate Chair for Undergraduate Studies.
This position focuses on detecting and forecasting floods using images and thus automating flood identification without human intervention. With such an approach, it will be possible to use only the cameras without a river height sensor submerged in the river. Applicants must have completed, or are nearing completion, a doctorate in Computer Science or related subjects in the past five years.
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.
Joint postdoc position between Princeton University and the Weizmann Institute at the intersection of communications, signal processing and machine learning. The work will be performed with the groups of Prof. Andrea Goldsmith and Prof. Yonina Eldar. The candidate is expected to work with both teams in collaborative and supportive environments, with the location flexible between the two centers.
Lecture Date: August 12, 2021 -- Virtual Lecture
Chapter: Singapore
Chapter Chair: Ngai-Man Cheung
Topic: Random Walk on a Tree for Stochastic Optimization and Learning
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