2024 2nd International Workshop on Signal Processing and Machine Learning (WSPML 2024)

WSPML 2024


  • URL: https://www.wspml.org
  • Event Date: 2024-06-07 ~ 2024-06-09
  • Submission Date: 2024-05-07
  • Organizer: HKSRA

Computer Vision & Pattern Recognition Information Theory



2024 2nd International Workshop on Signal Processing and Machine Learning (WSPML 2024)---Ei Compendex & Scopus—Call for paper  



June 7-9, 2024onlineWebsite: www.wspml.org



 



★WSPML 2024 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 2024 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, engineers, or industry professionals, this conference could mark an important point in your career.



 



★Publication and Indexing



All accepted and registered full papers will be published conjunctly with other conference proceeding in the form of digital conference proceeding and submitted to major citation databases like EI Compendex, SCOPUS, Google Scholar etc. for reviewing and indexing. Excellent Papers from WSPML 2024 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



June 7: Registration + Icebreaker Reception



June 8: Opening Ceremony+ KN Speech+ Technical Sessions



June 9: Technical Sessions+ Half day tour/Lab tours



 



★Paper Submission



Submit Via CMT: https://cmt3.research.microsoft.com/WSPML2024



 



★CONTACT US



Ms. Riva H. W. Wong



Email: inquiry@wspml.org



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