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KDD
2009
ACM
611views Data Mining» more  KDD 2009»
16 years 4 months ago
Fast approximate spectral clustering
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...
Donghui Yan, Ling Huang, Michael I. Jordan
PR
2007
127views more  PR 2007»
15 years 3 months ago
Face recognition using spectral features
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....
121
Voted
ICCAD
2006
IEEE
101views Hardware» more  ICCAD 2006»
16 years 21 days ago
A spectrally accurate integral equation solver for molecular surface electrostatics
Electrostatic analysis of complicated molecular surfaces arises in a number of nanotechnology applications including: biomolecule design, carbon nanotube simulation, and molecular...
Shih-Hsien Kuo, Jacob White
117
Voted
CGI
2006
IEEE
15 years 7 months ago
Sub-sampling for Efficient Spectral Mesh Processing
In this paper, we apply Nystr
Rong Liu, Varun Jain, Hao Zhang 0002
TNN
2011
142views more  TNN 2011»
14 years 10 months ago
Optimum Spatio-Spectral Filtering Network for Brain-Computer Interface
—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...