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» Estimating Illumination Chromaticity via Kernel Regression
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ACCV
2007
Springer
13 years 11 months ago
Color Constancy Via Convex Kernel Optimization
This paper introduces a novel convex kernel based method for color constancy computation with explicit illuminant parameter estimation. A simple linear render model is adopted and ...
Xiaotong Yuan, Stan Z. Li, Ran He
ICPR
2010
IEEE
13 years 8 months ago
Multiple-Shot Person Re-Identification by HPE Signature
Abstract--In this paper, we propose a novel appearancebased method for person re-identification, that condenses a set of frames of the same individual into a highly informative sig...
Loris Bazzani, Marco Cristani, Alessandro Perina, ...
FSS
2006
102views more  FSS 2006»
13 years 5 months ago
Consistent Sobolev regression via fuzzy systems with overlapping concepts
In this paper we propose a new nonparametric regression algorithm based on Fuzzy systems with overlapping concepts. We analyze its consistency properties, showing that it is capab...
Giancarlo Ferrari-Trecate, Riccardo Rovatti
ECCV
2010
Springer
13 years 10 months ago
Non-Local Kernel Regression for Image and Video Restoration
This paper presents a non-local kernel regression (NL-KR) method for image and video restoration tasks, which exploits both the non-local self-similarity and local structural regul...
CVPR
2009
IEEE
1528views Computer Vision» more  CVPR 2009»
14 years 9 months ago
Structured Output-Associative Regression
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
Liefeng Bo and Cristian Sminchisescu