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CVPR
2001
IEEE
16 years 3 months ago
Tracking of Object with SVM Regression
This paper presents a novel feature-matching based approach for rigid object tracking. The proposed method models the tracking problem as discovering the affine transforms of obje...
Weiyu Zhu, Song Wang, Ruei-Sung Lin, Stephen E. Le...
ICML
2008
IEEE
16 years 2 months ago
Sparse multiscale gaussian process regression
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
Bernhard Schölkopf, Christian Walder, Kwang I...
IDEAL
2004
Springer
15 years 6 months ago
Kernel Density Construction Using Orthogonal Forward Regression
Abstract— The paper presents an efficient construction algorithm for obtaining sparse kernel density estimates based on a regression approach that directly optimizes model gener...
Sheng Chen, Xia Hong, Chris J. Harris
CSL
2010
Springer
15 years 1 months ago
Speech segmentation using regression fusion of boundary predictions
In the present work we study the appropriateness of a number of linear and non-linear regression methods, employed on the task of speech segmentation, for combining multiple phone...
Iosif Mporas, Todor Ganchev, Nikos Fakotakis
ICCV
2001
IEEE
16 years 3 months ago
Shape Deformation: SVM Regression and Application to Medical Image Segmentation
This paper presents a novel landmark-based shape deformation method. This method effectively solves two problems inherent in landmark-based shape deformation: (a) identification o...
Song Wang, Weiyu Zhu, Zhi-Pei Liang