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» A Training Method with Small Computation for Classification
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132
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CVPR
2007
IEEE
16 years 5 months ago
Resolving Objects at Higher Resolution from a Single Motion-blurred Image
Motion blur can degrade the quality of images and is considered a nuisance for computer vision problems. In this paper, we show that motion blur can in-fact be used for increasing...
Amit K. Agrawal, Ramesh Raskar
ECCV
2006
Springer
16 years 5 months ago
Robust Player Gesture Spotting and Recognition in Low-Resolution Sports Video
The determination of the player's gestures and actions in sports video is a key task in automating the analysis of the video material at a high level. In many sports views, th...
Myung-Cheol Roh, William J. Christmas, Josef Kittl...
CVPR
2010
IEEE
15 years 12 months ago
Action Unit Detection with Segment-based SVMs
Automatic facial action unit (AU) detection from video is a long-standing problem in computer vision. Two main approaches have been pursued: (1) static modeling--typically posed a...
Tomas Simon, Nguyen Minh, Fernando De la Torre, Je...
153
Voted
MICCAI
2005
Springer
16 years 4 months ago
Exploiting Temporal Information in Functional Magnetic Resonance Imaging Brain Data
Functional Magnetic Resonance Imaging(fMRI) has enabled scientists to look into the active human brain, leading to a flood of new data, thus encouraging the development of new data...
Lei Zhang 0002, Dimitris Samaras, Dardo Tomasi, Ne...
159
Voted
CORR
2006
Springer
153views Education» more  CORR 2006»
15 years 3 months ago
Genetic Programming, Validation Sets, and Parsimony Pressure
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
Christian Gagné, Marc Schoenauer, Marc Pari...