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» Incorporating Prior Knowledge into SVM for Image Retrieval
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AIPR
2005
IEEE
14 years 1 months ago
Hierarchical Bayesian Algorithm for Diffuse Optical Tomography
Diffuse Optical Tomography (DOT) poses a typical illposed inverse problem with limited number of measurements and inherently low spatial resolution. In this paper, we propose a hi...
Murat Guven, Birsen Yazici, Xavier Intes, Britton ...
TOG
2010
121views more  TOG 2010»
13 years 2 months ago
Data-driven image color theme enhancement
It is often important for designers and photographers to convey or enhance desired color themes in their work. A color theme is typically defined as a template of colors and an as...
Baoyuan Wang, Yizhou Yu, Tien-Tsin Wong, Chun Chen...
ICIP
2009
IEEE
14 years 8 months ago
Bayesian Blind Deconvolution From Differently Exposed Image Pairs
Photographs acquired under low-light conditions require long exposure times and therefore exhibit significant blurring due to the shaking of the camera. Using shorter exposure tim...
CVPR
2000
IEEE
13 years 11 months ago
Learning Patterns from Images by Combining Soft Decisions and Hard Decisions
We present a novel approach for learning patterns (sub-images) shared by multiple images without prior knowledge about the number and the positions of the patterns in the images. ...
Pengyu Hong, Thomas S. Huang, Roy Wang
ICIP
2004
IEEE
14 years 9 months ago
Decomposition of range images using markov random fields
This paper describes a computational model for deriving a decomposition of objects from laser rangefinder data. The process aims to produce a set of parts defined by compactness a...
Andreas Pichler, Robert B. Fisher, Markus Vincze