2023 5th International Workshop on Signal Processing and Machine Learning (WSPML 2023)

Memo

★2023 5th International Workshop on Signal Processing and Machine Learning (WSPML 2023)---Ei Compendex & Scopus—Call for paper   September 22-24, 2023｜Hangzhou, China｜Website: www.wspml.org   ★WSPML 2023 presents researchers, engineers, and academics with an unprecedented opportunity to associate and interact with some of the foremost experts in the field of Signal Processing and Machine Learning from around the globe. WSPML 2023 aims to be the must-visit conference of the year for the field, and will be the ideal forum for the exchange of ideas and innovations that promise to change the face of the industry. For researchers, an engineers, or industry professionals, this conference could mark an important point in your career.   ★Publication and Indexing All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted and registered papers will be published in the Conference Proceedings by SPIE - The International Society for Optical Engineering (ISSN: 0277-786X), and submitted to EI Compendex, Scopus for indexing. Excellent Papers from WSPML 2023 will be recommended to be submitted for publication in journal.   ★Keynote Speakers Prof. Michalis Matthaiou——Queen’s University Belfast, United Kingdom Prof. Chik Patrick Yue——The Hong Kong University of Science and Technology, China   ★Program Preview/ Program at a glance September 22: Registration + Icebreaker Reception September 23: Opening Ceremony+ KN Speech+ Technical Sessions September 24: Technical Sessions+ Half day tour/Lab tours   ★Paper Submission Submit Via CMT: https://cmt3.research.microsoft.com/WSPML2023   ★CONTACT US Ms. Riva H. W. Wong Email: This email address is being protected from spambots. You need JavaScript enabled to view it. Website: www.wspml.org   ★Topics of Interest Signal, Image and Video Processing Digital Signal Processing Feature Extractions Image and Multidimensional Signal Processing Image/Video Processing and Coding Mining Images and Texture Mining Images in Computer Vision Multimodal Data Fusion Graphical Models and Kernel Methods Deep Learning, Machine Learning, Pattern Recognition, Artificial Intelligence Learning Theory Machine Learning Methods Learning of Action Patterns Neural Methods Classification Techniques Data-Driven Adaptive Systems Data-Driven Models