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» On Multiple Linear Approximations
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CVPR
2006
IEEE
16 years 8 months ago
Shape-Based Approach to Robust Image Segmentation using Kernel PCA
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...
Samuel Dambreville, Yogesh Rathi, Allen Tannenbaum
ECCV
2008
Springer
16 years 8 months ago
Relevant Feature Selection for Human Pose Estimation and Localization in Cluttered Images
Abstract. We address the problem of estimating human body pose from a single image with cluttered background. We train multiple local linear regressors for estimating the 3D pose f...
Ryuzo Okada, Stefano Soatto
ECCV
2002
Springer
16 years 8 months ago
Surviving Dominant Planes in Uncalibrated Structure and Motion Recovery
In this paper we address the problem of uncalibrated structure and motion recovery from image sequences that contain dominant planes in some of the views. Traditional approaches fa...
Marc Pollefeys, Frank Verbiest, Luc J. Van Gool
ICIP
1998
IEEE
16 years 8 months ago
The Variable-Length Generalized Lapped Biorthogonal Transform
This paper introduces a class of linear phase lapped biorthogonal transforms with basis functions of variable length VLGLBT. The transform can be characterized by a lattice which ...
Trac D. Tran, Ricardo L. de Queiroz, Truong Q. Ngu...
ICPR
2006
IEEE
16 years 7 months ago
Dimensionality Reduction with Adaptive Kernels
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
Shuicheng Yan, Xiaoou Tang