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TCSV
2008
131views more  TCSV 2008»
15 years 6 months ago
Fast Optimal Motion Estimation Based on Gradient-Based Adaptive Multilevel Successive Elimination
In this paper, we propose a fast and optimal solution for block motion estimation based on an adaptive multilevel successive elimination algorithm. This algorithm is accomplished b...
Shao-Wei Liu, Shou-Der Wei, Shang-Hong Lai
CDC
2010
IEEE
106views Control Systems» more  CDC 2010»
15 years 1 months ago
Optimal cross-layer wireless control policies using TD learning
We present an on-line crosslayer control technique to characterize and approximate optimal policies for wireless networks. Our approach combines network utility maximization and ad...
Sean P. Meyn, Wei Chen, Daniel O'Neill
ECCV
2008
Springer
16 years 8 months ago
Learning for Optical Flow Using Stochastic Optimization
Abstract. We present a technique for learning the parameters of a continuousstate Markov random field (MRF) model of optical flow, by minimizing the training loss for a set of grou...
Yunpeng Li, Daniel P. Huttenlocher
WEA
2005
Springer
97views Algorithms» more  WEA 2005»
15 years 11 months ago
Multiple-Winners Randomized Tournaments with Consensus for Optimization Problems in Generic Metric Spaces
Abstract. Extensions of the randomized tournaments techniques introduced in [6, 7] to approximate solutions of 1-median and diameter computation of finite subsets of general metri...
Domenico Cantone, Alfredo Ferro, Rosalba Giugno, G...
PR
2007
104views more  PR 2007»
15 years 5 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet