Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
Face recognition is a challenging task in computer vision and pattern recognition. It is well-known that obtaining a low-dimensional feature representation with enhanced discrimin...
Fei Wang, Jingdong Wang, Changshui Zhang, James T....
Electrostatic analysis of complicated molecular surfaces arises in a number of nanotechnology applications including: biomolecule design, carbon nanotube simulation, and molecular...
—This paper proposes a feature extraction method for motor imagery brain–computer interface (BCI) using electroencephalogram. We consider the primary neurophysiologic phenomeno...
Haihong Zhang, Zhang Yang Chin, Kai Keng Ang, Cunt...