ICONIP'20 Full Call for Papers [Deadline Extended to 28th June 2020] # Content The 27th International Conference on Neural Information Processing (ICONIP2020) aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progresses and achievements. […]

************************************************************************** CALL FOR PAPERS International Joint Conference on Biometrics (IJCB 2020) Houston, USA September 28 – October 1, 2020 http://ieee-biometrics.org/ijcb2020/ ** IJCB 2020 Important dates ** Paper submission (extended): June 8, 2020 Notifications to authors: July 28, 2020 NOTE: The IJCB 2020 organizing committee has been closely monitoring the development of the COVID-19 pandemic. As […]

******************************************************************************************* Please accept our apologies if you receive multiple copies of this Call for Papers ******************************************************************************************* C a l l  F o r  P a p e r s ACM* PE-WASUN 2020 17th ACM* International Symposium on Performance Evaluation ofWireless Ad Hoc, Sensor, and Ubiquitous Networks(Jointly with the 23rd ACM MSWiM Conference) Date: November 16th– […]

ACM Transactions on Multimedia Computing, Communications and Applications (TOMM) CALL FOR PAPERS Special Issue on Advanced Approaches for Multiple Instance Learning in Multimedia Applications (AMIL)   Multiple instance learning (MIL) is a form of weakly supervised learning where training instances are arranged in sets, called bags, while the points inside the bags are named instances […]

CALL FOR PAPERS IEEE Journal of Selected Topics in Signal Processing Special Issue on Tensor Decomposition for Signal Processing and Machine Learning Tensor decomposition, also called tensor factorization, is very useful for representing and analyzing multidimensional data. Tensor decomposition has been applied in signal processing (speech, audio, communications, radar, biomedicine), machine learning (clustering, dimensionality reduction, latent factor models, […]