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» Localizing Planning with Functional Process Models
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SAC
2004
ACM
14 years 3 months ago
Combining analysis and synthesis in a model of a biological cell
for ideas, and then abstract away from these ideas to produce algorithmic processes that can create problem solutions in a bottom-up manner. We have previously described a top-dow...
Ken Webb, Tony White
AVSS
2008
IEEE
13 years 11 months ago
Super-Resolution of Facial Images in Video with Expression Changes
Super-resolution (SR) of facial images from video suffers from facial expression changes. Most of the existing SR algorithms for facial images make an unrealistic assumption that ...
Jiangang Yu, Bir Bhanu
EAAI
2007
199views more  EAAI 2007»
13 years 9 months ago
Nonlinear system modeling and robust predictive control based on RBF-ARX model
An integrated modeling and robust model predictive control (MPC) approach is proposed for a class of nonlinear systems with unknown steady state. First, the nonlinear system is id...
Hui Peng, Zi-Jiang Yang, Weihua Gui, Min Wu, Hideo...
JSW
2007
66views more  JSW 2007»
13 years 9 months ago
Implementing Model-Based Data Structures using Transient Model Extensions
— Software is often constructed using a layered approach to encapsulate various functionality in corresponding layers. Individual requirements of each layer demand layer specifi...
Michael Thonhauser, Gernot Schmoelzer, Christian K...
PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
13 years 8 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup