Complex-valued, quaternion-valued, and more generally hypercomplex-valued neural networks (HVNNs) constitute a rapidly growing research area that has attracted continued interest for the last decade. Besides their natural ability to tread multidimensional data, hypercomplex-valued neural networks can benefit from hypercomplex numbers’ geometric and algebraic properties. For example, complex-valued neural networks are essential for a proper treatment of phase and the information contained in phase, including the treatment of wave- and rotation-related phenomena such as electromagnetism, light waves, quantum waves, and oscillatory phenomena. Quaternion-valued neural networks, which have potential applications in three- and four-dimensional data modeling, have been effectively used to process and analyze multivariate images such as color and polarimetric SAR images. Despite significant theoretical development and successful applications, there are still many research directions in HVNNs, including a formal generalization of the commonly used real-valued network architectures and training algorithms to the hypercomplex-valued case. There are also many exciting applications in pattern recognition and classification, nonlinear filtering, intelligent image processing, brain-computer interfaces, time-series prediction, bioinformatics, robotics, etc. This special session aims to be the proper forum for a systematic and comprehensive exchange of ideas, present the recent research results, and discuss future trends in HVNNs. We hope the proposed session will attract potential speakers and researchers interested in joining the HVNNs community. We also expect this session to benefit and inspire computational intelligence researchers and other specialties that need sophisticated neural network tools.
This special session welcomes papers that are or might be related to all aspects of hypercomplex-valued neural networks, including complex-valued and quaternion-valued neural networks. Papers on theoretical advances as well as contributions of applied nature are appreciated. We also welcome interdisciplinary contributions from other areas that are on the borders of the proposed scope. Topics include, but are not limited to:
Special session on HVNNs has become a traditional event of the IJCNN conference. Ten special sessions have been organized since 2006 (WCCI-IJCNN 2006, Vancouver; WCCI-IJCNN 2008, Hong Kong; IJCNN 2009, Atlanta; WCCI-IJCNN 2010, Barcelona; IJCNN-2011, San Jose; WCCI-IJCNN 2012, Brisbane; IJCNN-2013, Dallas; WCCI-IJCNN 2014, Beijing; WCCI-IJCNN 2016, Vancouver; WCCI-IJCNN 2018, Rio De Janeiro; WCCI-IJCNN 2020, Glasgow). These special sessions attracted numerous submissions and had large audiences. They featured many interesting presentations and very productive discussions. Because of the recent advances in HVNNs, we expect this special session to be as exciting and fruitful as the past special sessions.
University of Campinas, Brazil
Email: valle@ime.unicamp.br
URL: http://www.ime.unicamp.br/~valle
Imperial College, London, UK
Email: d.mandic@imperial.ac.uk
URL: http://www.commsp.ee.ic.ac.uk/~mandic/
Manhattan College, USA
Email: igor.aizenberg@manhattan.edu
URL: https://manhattan.edu/campus-directory/iaizenberg01
University of Tokyo, Japan
Email: ahirose at ee.t.u-tokyo.ac.jp
URL: www.eis.t.u-tokyo.ac.jp/~ahirose
Submit your paper using the Microsoft CMT as submission system.
Please select the special session “IJCNN-SS-6: Hypercomplex-valued neural networks - Theory and Applications” under the list of research topics in the submission system during the submission.
Papers submitted for this special sessions should attend the WCCI 2022 submission’ requirements, including:
Further information are available here.
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