Overview of spoken language processing by means of kernel memory, from isolated word recognition to representation of syntactical structures[Invited]
2018 RIKEN-BSI-Cichocki Laboratory Alumni Japan Workshop onFrontier of Multidisciplinary Research:Brain Signal Processing and Multiway Data Mining 23 Mar 2018 BSI-RIKEN
Kernel Memory -- A New Connectionist Framework and Its Application to Spoken Word Recognition and Modelling Cognitive Faculties[Invited]
Tetsuya Hoya
The Constantinides Workshop, the 19th Int. Conf. on Digital Signal Processing (DSP-2014) Aug 2015
Efficient Identification of EMG Patterns in Electroencephalograms by Multilinear Subspace Analysis
Hikaru Sahara, Hovagim Bakardjian‡, and Andrzej Cichocki
26th Signal Information Processing Symposium 16 Nov 2011 電子情報通信学会
Artificial Intelligence and Language Acquisition -- Modelling An Artificial Language Acquisition Mechanism for Representing Inflections of Words Within the Context of Artificial Mind System and Kernel Memory
T. Hoya and N. Akiho-Toyoda
Sendai International Forum on Sentence Processing and Psycholinguistics in East Asian Languages 2006
Analysis of Dynamical Visual Evoked Potential EEG Data Using ICA Approach
L. Zhao, J. Cao, T. Hoya, and A. Cichocki
Annual Conf. Japanese Soc. for Medical and Biological Engineering, Tsukuba 2005
4899177 : SELF-DEVELOPMENT TYPE VOICE LANGUAGE PATTERN RECOGNITION SYSTEM, AND METHOD AND PROGRAM FOR STRUCTURING SELF-ORGANIZING NEURAL NETWORK STRUCTURE USED FOR SAME SYSTEM
特許第4354387号 : Separation System, Signal Separation Method, and Signal Separation Program Therefor
