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» Application of Level Set Methods in Computer Vision
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CVPR
2005
IEEE
16 years 4 months ago
Classification of Contour Shapes Using Class Segment Sets
Both example-based and model-based approaches for classifying contour shapes can encounter difficulties when dealing with classes that have large nonlinear variability, especially...
Kang B. Sun, Boaz J. Super
ICPR
2006
IEEE
16 years 3 months ago
Feature selection based on the training set manipulation
A novel filter feature selection technique is introduced. The method exploits the information conveyed by the evolution of the training samples weights similarly to the Adaboost a...
Pavel Krízek, Josef Kittler, Václav ...
ICCV
2009
IEEE
2171views Computer Vision» more  ICCV 2009»
16 years 6 months ago
Fast Visibility Restoration from a Single Color or Gray Level Image
One source of difficulties when processing outdoor images is the presence of haze, fog or smoke which fades the colors and reduces the contrast of the observed objects. We introdu...
Jean-Philippe Tarel and Nicolas Hautière
123
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HPDC
2003
IEEE
15 years 7 months ago
SODA: A Service-On-Demand Architecture for Application Service Hosting Utility Platforms
The Grid is realizing the vision of providing computation as utility: computation jobs can be scheduled on-demand in Grid hosts based on available computation capacity. In this pa...
Xuxian Jiang, Dongyan Xu
ECCV
2010
Springer
15 years 7 months ago
Visual Recognition With Humans in the Loop
We present an interactive, hybrid human-computer method for object classification. The method applies to classes of objects that are recognizable by people with appropriate expert...