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TSP
2008
106views more  TSP 2008»
13 years 6 months ago
Guaranteeing Practical Convergence in Algorithms for Sensor and Source Localization
This paper considers localization of a source or a sensor from distance measurements. We argue that linear algorithms proposed for this purpose are susceptible to poor noise perfor...
Baris Fidan, Soura Dasgupta, Brian D. O. Anderson
TCSV
2008
131views more  TCSV 2008»
13 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
ACCV
2006
Springer
14 years 8 days ago
Fast Global Motion Estimation Via Iterative Least-Square Method
Abstract. This paper presents a fast algorithm for global motion estimation based on Iterative Least- Square Estimation (ILSE) technique. Compared with the traditional framework, t...
Jia Wang, Haifeng Wang, Qingshan Liu, Hanqing Lu
CORR
2004
Springer
103views Education» more  CORR 2004»
13 years 6 months ago
Online convex optimization in the bandit setting: gradient descent without a gradient
We study a general online convex optimization problem. We have a convex set S and an unknown sequence of cost functions c1, c2, . . . , and in each period, we choose a feasible po...
Abraham Flaxman, Adam Tauman Kalai, H. Brendan McM...
EMO
2001
Springer
209views Optimization» more  EMO 2001»
13 years 10 months ago
Comparison of Evolutionary and Deterministic Multiobjective Algorithms for Dose Optimization in Brachytherapy
We compare two multiobjective evolutionary algorithms, with deterministic gradient based optimization methods for the dose optimization problem in high-dose rate (HDR) brachythera...
Natasa Milickovic, Michael Lahanas, Dimos Baltas, ...