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IJCNN
2000
IEEE
14 years 1 months ago
Robust Adaptive Critic Based Neurocontrollers for Systems with Input Uncertainties
A two-neural network approach to solving nonlinear optimal control problems is described in this study. This approach called the adaptive critic method consists of one neural netw...
Zhongwu Huang, S. N. Balakrishnan
ACCV
2009
Springer
14 years 23 days ago
Refined Exponential Filter with Applications to Image Restoration and Interpolation
Ill-posed linear equations are pervasive in computer vision. A popular way to solve an ill-posed problem is regularization. In this paper, we propose a new criterion for designing ...
Yanlin Geng, Tong Lin, Zhouchen Lin, Pengwei Hao
DAGM
1999
Springer
14 years 1 months ago
A Total Least Squares Framework for Low-Level Analysis of Dynamic Scenes and Processes
Abstract. We present a new method to simultaneously estimate optical flow fields and parameters of dynamic processes, violating the standard brightness change constraint equation...
Horst W. Haussecker, Christoph S. Garbe, Hagen Spi...
JCNS
2010
90views more  JCNS 2010»
13 years 3 months ago
Fast Kalman filtering on quasilinear dendritic trees
Optimal filtering of noisy voltage signals on dendritic trees is a key problem in computational cellular neuroscience. However, the state variable in this problem -- the vector of...
Liam Paninski
SAC
2005
ACM
14 years 2 months ago
Limited assignments: a new cutoff strategy for incomplete depth-first search
In this paper, we propose an extension of three incomplete depthfirst search techniques, namely depth-bounded backtrack search, credit search, and iterative broadening, towards pr...
Roman Barták, Hana Rudová