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» Variational Bayesian image modelling
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TSP
2008
167views more  TSP 2008»
15 years 1 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
ECCV
2004
Springer
16 years 5 months ago
Light Field Appearance Manifolds
Abstract. Statistical shape and texture appearance models are powerful image representations, but previously had been restricted to 2D or 3D shapes with smooth surfaces and lambert...
Chris Mario Christoudias, Louis-Philippe Morency, ...
126
Voted
CVPR
2008
IEEE
16 years 5 months ago
What do color changes reveal about an outdoor scene?
In an extended image sequence of an outdoor scene, one observes changes in color induced by variations in the spectral composition of daylight. This paper proposes a model for the...
Kalyan Sunkavalli, Fabiano Romeiro, Wojciech Matus...
112
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IMAGING
2003
15 years 4 months ago
Interactive Goniochromatic Color Design
An interactive program has been developed to assist in the design of new goniochromatic colors. The program gives the user a unique set of controls over a second order polynomial ...
Clement Shimizu, Gary W. Meyer, Joseph P. Wingard
ICCV
2007
IEEE
15 years 9 months ago
Two-View Motion Segmentation by Mixtures of Dirichlet Process with Model Selection and Outlier Removal
This paper presents a novel motion segmentation algorithm on the basis of mixture of Dirichlet process (MDP) models, a kind of nonparametric Bayesian framework. In contrast to pre...
Yong-Dian Jian, Chu-Song Chen