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» Sampling Techniques for Kernel Methods
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IGARSS
2009
14 years 7 months ago
A Novel STAP Algorithm using Sparse Recovery Technique
A novel STAP algorithm based on sparse recovery technique, called CS-STAP, were presented. Instead of using conventional maximum likelihood estimation of covariance matrix, our met...
Ke Sun, Hao Zhang, Gang Li, Huadong Meng, Xiqin Wa...
TOG
2002
121views more  TOG 2002»
14 years 9 months ago
A rapid hierarchical rendering technique for translucent materials
This paper introduces an efficient two-pass rendering technique for translucent materials. We decouple the computation of irradiance at the surface from the evaluation of scatteri...
Henrik Wann Jensen, Juan Buhler
TOG
2008
102views more  TOG 2008»
14 years 9 months ago
Real-time data driven deformation using kernel canonical correlation analysis
Achieving intuitive control of animated surface deformation while observing a specific style is an important but challenging task in computer graphics. Solutions to this task can ...
Wei-Wen Feng, Byung-Uck Kim, Yizhou Yu
PRL
2008
161views more  PRL 2008»
14 years 9 months ago
Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm
This article introduces a scheme for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring groups in the data. T...
Swagatam Das, Ajith Abraham, Amit Konar
TNN
2010
176views Management» more  TNN 2010»
14 years 4 months ago
Sparse approximation through boosting for learning large scale kernel machines
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Ping Sun, Xin Yao