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175
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CVPR
2010
IEEE
16 years 3 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
ATAL
2003
Springer
16 years 3 days ago
Transition-independent decentralized markov decision processes
There has been substantial progress with formal models for sequential decision making by individual agents using the Markov decision process (MDP). However, similar treatment of m...
Raphen Becker, Shlomo Zilberstein, Victor R. Lesse...
165
Voted
COMPSAC
2004
IEEE
15 years 10 months ago
A Development Framework for Rapid Meta-Heuristics Hybridization
While meta-heuristics are effective for solving large-scale combinatorial optimization problems, they result from time-consuming trial-and-error algorithm design tailored to speci...
Hoong Chuin Lau, Wee Chong Wan, Min Kwang Lim, Ste...
175
Voted
CDC
2010
IEEE
122views Control Systems» more  CDC 2010»
15 years 1 months ago
Closed-loop optimal experiment design: The partial correlation approach
Abstract-- We consider optimal experiment design for parametric prediction error system identification of linear timeinvariant systems in closed loop. The optimisation is performed...
Roland Hildebrand, Michel Gevers, Gabriel Solari
CVPR
2004
IEEE
16 years 9 months ago
Estimation, Smoothing, and Characterization of Apparent Diffusion Coefficient Profiles from High Angular Resolution DWI
We present a new variational framework for recovery of apparent diffusion coefficient (ADC) from High Angular Resolution Diffusion-weighted (HARD) MRI. The model approximates the ...
Yunmei Chen, Weihong Guo, Qingguo Zeng, Xiaolu Yan...