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» A Kernel Method for the Two-Sample Problem
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ACST
2006
13 years 10 months ago
Domain decomposition by radial basis functions for time dependent partial differential equations
In the last years, there has been an increased investigation of efficient algorithms to solve problems of great scale. The main restriction of the traditional methods, like finite...
José Antonio Muñoz-Gómez, Ped...
CVPR
2008
IEEE
14 years 10 months ago
Dimensionality reduction using covariance operator inverse regression
We consider the task of dimensionality reduction for regression (DRR) whose goal is to find a low dimensional representation of input covariates, while preserving the statistical ...
Minyoung Kim, Vladimir Pavlovic
PR
2010
145views more  PR 2010»
13 years 7 months ago
Graph-optimized locality preserving projections
Locality preserving projections (LPP) is a typical graph-based dimensionality reduction (DR) method, and has been successfully applied in many practical problems such as face recog...
Limei Zhang, Lishan Qiao, Songcan Chen
PAMI
2006
132views more  PAMI 2006»
13 years 8 months ago
Capitalize on Dimensionality Increasing Techniques for Improving Face Recognition Grand Challenge Performance
This paper presents a novel pattern recognition framework by capitalizing on dimensionality increasing techniques. In particular, the framework integrates Gabor image representatio...
Chengjun Liu
CVPR
2004
IEEE
14 years 10 months ago
3D Human Pose from Silhouettes by Relevance Vector Regression
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pr...
Ankur Agarwal, Bill Triggs