학회 정보

MLSP 2022: IEEE International Workshop on Machine Learning for Signal Processing

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투고 마감일:
2022-04-14 Extended
통보일:
2022-06-01
개최일:
2022-08-22
개최지:
Xi an, China
개최 횟수:
32
조회: 12001   팔로우: 0   참가: 2

논문 모집

MLSP 2022 (IEEE International Workshop on Machine Learning for Signal Processing) is an academic conference held in Xi an, China on 2022-08-22. The paper submission deadline is 2022-04-14 (extended). Acceptance notifications are sent on 2022-06-01.

The 32nd MLSP workshop, an annual event organized by the IEEE Signal Processing Society MLSP Technical Committee, will present the most recent and exciting advances in machine learning for signal processing through keynote talks, tutorials, special and regular single-track sessions, and demonstration sessions. The workshop will be held in a physical manner or a hybrid manner, depending on the global pandemic situation. Prospective authors are invited to submit papers on relevant algorithms and applications including, but not limited to: Cognitive information learning Deep learning techniques Dictionary learning Graphical and kernel methods Matrix factorization/completion Independent component analysis Information-theoretic learning Learning theory and algorithms Learning form multimodal data ML over wireless networks Applications in music and audio Pattern recognition and classification Subspace and manifold learning Sequential learning Distributed/Federated learning Reinforcement learning Transfer learning Self/semi-supervised learning
최종 수정: Dou Sun ()

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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
IEEE Transactions on Signal Processing5.8IEEE1053-587X
BMachine Learning2.9Springer0885-6125
IEEE Signal Processing Magazine9.6IEEE1053-5888
Digital Signal Processing3.0Elsevier1051-2004
Journal of Signal Processing Systems1.8Springer1939-8018
Mechanical Systems and Signal Processing8.9Elsevier0888-3270
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340

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