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ICML
2006
IEEE
16 years 17 days ago
Qualitative reinforcement learning
When the transition probabilities and rewards of a Markov Decision Process are specified exactly, the problem can be solved without any interaction with the environment. When no s...
Arkady Epshteyn, Gerald DeJong
ICCV
2005
IEEE
16 years 1 months ago
Recovering Human Body Configurations Using Pairwise Constraints between Parts
The goal of this work is to recover human body configurations from static images. Without assuming a priori knowledge of scale, pose or appearance, this problem is extremely chall...
Xiaofeng Ren, Alexander C. Berg, Jitendra Malik
ACML
2009
Springer
15 years 3 months ago
Max-margin Multiple-Instance Learning via Semidefinite Programming
In this paper, we present a novel semidefinite programming approach for multiple-instance learning. We first formulate the multipleinstance learning as a combinatorial maximum marg...
Yuhong Guo
ECTEL
2008
Springer
15 years 1 months ago
Knowledge Management in the Communities of Practice of e-Learning
Abstract. A lot of research has been done to promote and develop good elearning models, practices, and technological environments. However, fewer efforts were deployed to support e...
Akila Sarirete
TKDE
2012
245views Formal Methods» more  TKDE 2012»
13 years 2 months ago
Semi-Supervised Maximum Margin Clustering with Pairwise Constraints
—The pairwise constraints specifying whether a pair of samples should be grouped together or not have been successfully incorporated into the conventional clustering methods such...
Hong Zeng, Yiu-ming Cheung