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CSDA
2006
142views more  CSDA 2006»
15 years 4 months ago
A Bayesian approach to bandwidth selection for multivariate kernel density estimation
: Kernel density estimation for multivariate data is an important technique that has a wide range of applications. However, it has received significantly less attention than its un...
Xibin Zhang, Maxwell L. King, Rob J. Hyndman
CVPR
2010
IEEE
16 years 16 days ago
Fast Matting Using Large Kernel Matting Laplacian Matrices
Image matting is of great importance in both computer vision and graphics applications. Most existing state-of-the-art techniques rely on large sparse matrices such as the matting ...
Kaiming He, Jian Sun, Xiaoou Tang
AAAI
2010
15 years 5 months ago
Stability and Incentive Compatibility in a Kernel-Based Combinatorial Auction
We present the design and analysis of an approximately incentive-compatible combinatorial auction. In just a single run, the auction is able to extract enough value information fr...
Sébastien Lahaie
COLING
2008
15 years 5 months ago
A Local Alignment Kernel in the Context of NLP
This paper discusses local alignment kernels in the context of the relation extraction task. We define a local alignment kernel based on the Smith-Waterman measure as a sequence s...
Sophia Katrenko, Pieter W. Adriaans
CSDA
2007
128views more  CSDA 2007»
15 years 4 months ago
Regularized linear and kernel redundancy analysis
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
Yoshio Takane, Heungsun Hwang