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TSMC
2008
140views more  TSMC 2008»
13 years 10 months ago
Adaptive Feedback Control by Constrained Approximate Dynamic Programming
A constrained approximate dynamic programming (ADP) approach is presented for designing adaptive neural network (NN) controllers with closed-loop stability and performance guarante...
S. Ferrari, J. E. Steck, R. Chandramohan
SIAMSC
2010
158views more  SIAMSC 2010»
13 years 8 months ago
Solving Constrained Total-variation Image Restoration and Reconstruction Problems via Alternating Direction Methods
In this paper, we study alternating direction methods for solving constrained total-variation image restoration and reconstruction problems. Alternating direction methods can be im...
Michael K. Ng, Pierre Weiss, Xiaoming Yuan
IPMI
2003
Springer
14 years 3 months ago
Neighbor-Constrained Segmentation with 3D Deformable Models
A novel method for the segmentation of multiple objects from 3D medical images using inter-object constraints is presented. Our method is motivated by the observation that neighbor...
Jing Yang, Lawrence H. Staib, James S. Duncan
MIDDLEWARE
2000
Springer
14 years 1 months ago
The Role of Software Architecture in Constraining Adaptation in Component-Based Middleware Platforms
Future middleware platforms will need to be more configurable in order to meet the demands of a wide variety of application domains. Furthermore, we believe that such platforms wil...
Gordon S. Blair, Lynne Blair, Valérie Issar...
VMV
2008
107views Visualization» more  VMV 2008»
13 years 11 months ago
Learning with Few Examples using a Constrained Gaussian Prior on Randomized Trees
Machine learning with few training examples always leads to over-fitting problems, whereas human individuals are often able to recognize difficult object categories from only one ...
Erik Rodner, Joachim Denzler