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CVPR
2009
IEEE
17 years 1 months ago
An Instance Selection Approach to Multiple Instance Learning
Multiple-instance Learning (MIL) is a new paradigm of supervised learning that deals with the classification of bags. Each bag is presented as a collection of instances from whi...
Zhouyu Fu (Australian National University), Antoni...
CVPR
2009
IEEE
17 years 1 months ago
Higher-Order Clique Reduction in Binary Graph Cut
We introduce a new technique that can reduce any higher-order Markov random field with binary labels into a first-order one that has the same minima as the original. Moreover, w...
Hiroshi Ishikawa 0002

Publication
1169views
16 years 11 months ago
Image Enhancement for Backlight-Scaled TFT-LCD Displays
One common way to extend the battery life of a portable device is to reduce the LCD backlight intensity. In contrast to previous approaches that minimize the power consumption by a...
Pei-Shan Tsai, Chia-Kai Liang, Tai-Hsiang Huang, a...
CVPR
2004
IEEE
16 years 8 months ago
Efficient Belief Propagation for Early Vision
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
CVPR
2004
IEEE
16 years 8 months ago
Radiometric Alignment of Image Sequences
Color values in an image are related to image irradiance by a nonlinear function called radiometric response function. Since this function depends on the aperture and the shutter ...
Seon Joo Kim, Marc Pollefeys