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» The Kernel Least-Mean-Square Algorithm
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CVPR
2005
IEEE
16 years 1 months ago
Local Discriminant Embedding and Its Variants
We present a new approach, called local discriminant embedding (LDE), to manifold learning and pattern classification. In our framework, the neighbor and class relations of data a...
Hwann-Tzong Chen, Huang-Wei Chang, Tyng-Luh Liu
CVPR
2005
IEEE
16 years 1 months ago
A Rational Function Lens Distortion Model for General Cameras
We introduce a new rational function (RF) model for radial lens distortion in wide-angle and catadioptric lenses, which allows the simultaneous linear estimation of motion and len...
David Claus, Andrew W. Fitzgibbon
CVPR
2007
IEEE
16 years 1 months ago
Feature Extraction by Maximizing the Average Neighborhood Margin
A novel algorithm called Average Neighborhood Margin Maximization (ANMM) is proposed for supervised linear feature extraction. For each data point, ANMM aims at pulling the neighb...
Fei Wang, Changshui Zhang
CVPR
2007
IEEE
16 years 1 months ago
A Multi-Scale Tikhonov Regularization Scheme for Implicit Surface Modelling
Kernel machines have recently been considered as a promising solution for implicit surface modelling. A key challenge of machine learning solutions is how to fit implicit shape mo...
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu
CVPR
2008
IEEE
16 years 1 months ago
A hybrid camera for motion deblurring and depth map super-resolution
We present a hybrid camera that combines the advantages of a high resolution camera and a high speed camera. Our hybrid camera consists of a pair of low-resolution high-speed (LRH...
Feng Li, Jingyi Yu, Jinxiang Chai