Colleagues, The Steering Committee of SSIAI invites you to participate in the IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI). SSIAI is a biennial conference dedicated to all aspects of computational analysis and interpretation of images and video. SSIAI brings together researchers and practitioners in academia, industry, and government to share and discuss the latest advances in […]

WConSC'2024 9th WORLD CONFERENCE ON SOFT COMPUTING June 03-05, 2024, Baku, Azerbaijan www.wconsc.com   Welcome   9th World Conference of Soft Computing (9th WConSC'24) will be held at the Institute of Control System, Ministry Science and Education of the Republic of Azerbaijan in Baku, Azerbaijan, on June 03-05, 2024. Azerbaijan is a country with a […]

The 21st IEEE International Conference on Smart City (SmartCity 2023), 13-15 Dec. 2023, Melbourne, Australia. Website: http://www.swinflow.org/confs/2023/smartcity/ Key dates:Submission Deadline:  September 15, 2023 (HST, Firm)   Notification: October 15, 2023Final Manuscript Due: October 30, 2023   Submission site: http://www.swinflow.org/confs/2023/smartcity/submission.htm Publication:Proceedings will be published by IEEE CS Press. Distinguished papers will be invited to  special issues of selected journals […]

The 25th IEEE International Conference on High Performance Computing and Communications (HPCC 2023), 13-15 Dec. 2023, Melbourne, Australia. Website: http://www.swinflow.org/confs/2023/hpcc/ Key dates: Submission Deadline: September 15, 2023 (HST, Firm)   Notification: October 15, 2023 Final Manuscript Due: October 30, 2023 Submission site:  http://www.swinflow.org/confs/2023/hpcc/submission.htm   Publication: Proceedings will be published by IEEE CS Press. Distinguished papers will be invited […]

Website: https://cpal.cc/ Poster: https://cpal.cc/assets/CFP_CPAL_2024.pdf ### Overview The Conference on Parsimony and Learning (CPAL) is an annual research conference focused on addressing the **parsimonious, low dimensional structures that** prevail in machine learning, signal processing, optimization, and beyond. We are interested in theories, algorithms, applications, hardware and systems, as well as scientific foundations for learning with parsimony.  […]