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228
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FCSC
2007
159views more  FCSC 2007»
15 years 6 months ago
Ranking with uncertain labels and its applications
1 The techniques for image analysis and classi cation generally consider the image sample labels xed and without uncertainties. The rank regression problem is studied in this pape...
Shuicheng Yan, Huan Wang, Jianzhuang Liu, Xiaoou T...
MP
2006
103views more  MP 2006»
15 years 6 months ago
Assessing solution quality in stochastic programs
Determining if a solution is optimal or near optimal is fundamental in optimization theory, algorithms, and computation. For instance, Karush-Kuhn-Tucker conditions provide necessa...
Güzin Bayraksan, David P. Morton
IIE
2007
63views more  IIE 2007»
15 years 6 months ago
Investigation of Q-Learning in the Context of a Virtual Learning Environment
We investigate the possibility to apply a known machine learning algorithm of Q-learning in the domain of a Virtual Learning Environment (VLE). It is important in this problem doma...
Dalia Baziukaite
TIP
2002
102views more  TIP 2002»
15 years 6 months ago
Multilayered image representation: application to image compression
Abstract--The main contribution of this work is a new paradigm for image representation and image compression. We describe a new multilayered representation technique for images. A...
François G. Meyer, Amir Averbuch, Ronald R....
208
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PAMI
2007
169views more  PAMI 2007»
15 years 6 months ago
Estimating Optimal Parameters for MRF Stereo from a Single Image Pair
—This paper presents a novel approach for estimating the parameters for MRF-based stereo algorithms. This approach is based on a new formulation of stereo as a maximum a posterio...
Li Zhang, Steven M. Seitz