We present a biologically plausible computational model for solving the visual feature binding problem. The binding problem appears to be due to the distributed nature of visual pr...
In this paper a novel genetically-inspired learning method is proposed for face expression recognition (FER) in visible images. Unlike current research for FER that generally uses ...
Most conventional features used in speaker authentication are based on estimation of spectral envelopes in one way or another, e.g., Mel-scale Filterbank Cepstrum Coefficients (MFC...
Norman Poh Hoon Thian, Conrad Sanderson, Samy Beng...
The Catchment Feature Model (CFM) addresses two questions in multimodal interaction: how do we bridge video and audio processing with the realities of human multimodal communicati...
This paper is concerned with the development of a computational methodology based on fractal geometry for determining 3D structure of protein with imagery projection operations. I...