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AUTOMATICA
2005
103views more  AUTOMATICA 2005»
14 years 9 months ago
Incorporating state estimation into model predictive control and its application to network traffic control
Model predictive control (MPC) is of interest because it is one of the few control design methods which preserves standard design variables and yet handles constraints. MPC is nor...
Jun Yan, Robert R. Bitmead
PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
15 years 4 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
ICCV
2011
IEEE
13 years 9 months ago
Handling Outliers in Non-Blind Image Deconvolution
Non-blind deconvolution is a key component in image deblurring systems. Previous deconvolution methods assume a linear blur model where the blurred image is generated by a linear ...
Sunghyun Cho, Jue Wang, Seungyong Lee
SIGIR
2002
ACM
14 years 9 months ago
Document clustering with cluster refinement and model selection capabilities
In this paper, we propose a document clustering method that strives to achieve: (1) a high accuracy of document clustering, and (2) the capability of estimating the number of clus...
Xin Liu, Yihong Gong, Wei Xu, Shenghuo Zhu
CVIU
2006
110views more  CVIU 2006»
14 years 9 months ago
Simultaneous tracking of multiple body parts of interacting persons
This paper presents a framework to simultaneously segment and track multiple body parts of interacting humans in the presence of mutual occlusion and shadow. The framework uses mu...
Sangho Park, Jake K. Aggarwal