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» Kernelization through Tidying
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104
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BCS
2008
14 years 11 months ago
Fast Estimation of Nonparametric Kernel Density Through PDDP, and its Application in Texture Synthesis
In this work, a new algorithm is proposed for fast estimation of nonparametric multivariate kernel density, based on principal direction divisive partitioning (PDDP) of the data s...
Arnab Sinha, Sumana Gupta
HPCN
1997
Springer
15 years 1 months ago
Evaluation of High Performance Fortran Through Application Kernels
Since the de nition of the High Performance Fortran HPF standard, we have been maintaining a suite of application kernel codes with the aim of using them to evaluate the availabl...
H. W. Yau, Geoffrey Fox, Kenneth A. Hawick
ICPR
2010
IEEE
15 years 3 months ago
3D Model Comparison through Kernel Density Matching
A novel 3D shape matching method is proposed in this paper. We first extract angular and distance feature pairs from pre-processed 3D models, then estimate their kernel densities ...
Yiming Wang, Tong Lu, Rongjun Gao, Wenyin Liu
73
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ASPDAC
2005
ACM
120views Hardware» more  ASPDAC 2005»
14 years 11 months ago
STACCATO: disjoint support decompositions from BDDs through symbolic kernels
Abstract— A disjoint support decomposition (DSD) is a representation of a Boolean function F obtained by composing two or more simpler component functions such that the component...
Stephen Plaza, Valeria Bertacco
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