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KDD
2006
ACM
180views Data Mining» more  KDD 2006»
15 years 10 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
JCNS
2000
120views more  JCNS 2000»
14 years 9 months ago
Robust Spectrotemporal Reverse Correlation for the Auditory System: Optimizing Stimulus Design
Abstract. The spectrotemporal receptive field (STRF) is a functional descriptor of the linear processing of timevarying acoustic spectra by the auditory system. By cross-correlatin...
David J. Klein, Didier A. Depireux, Jonathan Z. Si...
CVPR
2009
IEEE
1133views Computer Vision» more  CVPR 2009»
16 years 4 months ago
Sparse Subspace Clustering
We propose a method based on sparse representation (SR) to cluster data drawn from multiple low-dimensional linear or affine subspaces embedded in a high-dimensional space. Our ...
Ehsan Elhamifar, René Vidal
SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
15 years 7 months ago
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Fei Wang, Chris H. Q. Ding, Tao Li
DATE
2009
IEEE
113views Hardware» more  DATE 2009»
15 years 4 months ago
New simulation methodology of 3D surface roughness loss for interconnects modeling
— As clock frequencies exceed giga-Hertz, the extra power loss due to conductor surface roughness in interconnects and packagings is more evident and thus demands a proper accou...
Quan Chen, Ngai Wong