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CVPR
2008
IEEE
16 years 8 months ago
Learning Bayesian Networks with qualitative constraints
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
Yan Tong, Qiang Ji
CVPR
2008
IEEE
16 years 8 months ago
Dimensionality reduction using covariance operator inverse regression
We consider the task of dimensionality reduction for regression (DRR) whose goal is to find a low dimensional representation of input covariates, while preserving the statistical ...
Minyoung Kim, Vladimir Pavlovic
ICCV
2003
IEEE
16 years 8 months ago
Statistical Background Subtraction for a Mobile Observer
Statistical background modelling and subtraction has proved to be a popular and effective class of algorithms for segmenting independently moving foreground objects out from a sta...
Eric Hayman, Jan-Olof Eklundh
ICCV
2003
IEEE
16 years 8 months ago
Adaptive Dynamic Range Imaging: Optical Control of Pixel Exposures Over Space and Time
This paper presents a new approach to imaging that significantly enhances the dynamic range of a camera. The key idea is to adapt the exposure of each pixel on the image detector,...
Shree K. Nayar, Vlad Branzoi
ICCV
1999
IEEE
16 years 8 months ago
Vision in Bad Weather
Current vision systems are designed to perform in clear weather. Needless to say, in any outdoor application, there is no escape from "bad" weather. Ultimately, computer...
Shree K. Nayar, Srinivasa G. Narasimhan
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