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» Algorithmic randomness of continuous functions
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DCC
2010
IEEE
16 years 21 days ago
An MCMC Approach to Lossy Compression of Continuous Sources
Motivated by the Markov chain Monte Carlo (MCMC) relaxation method of Jalali and Weissman, we propose a lossy compression algorithm for continuous amplitude sources that relies on...
Dror Baron, Tsachy Weissman
ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
16 years 14 days ago
Randomized model predictive control for robot navigation
— We suggest a new navigation approach to mobile robots, within a nonlinear model predictive control framework where a navigation function is used as a control Lyapunov function....
Jorge L. Piovesan, Herbert G. Tanner
GECCO
2009
Springer
130views Optimization» more  GECCO 2009»
15 years 10 months ago
A stigmergy-based algorithm for black-box optimization: noiseless function testbed
In this paper, we present a stigmergy-based algorithm for solving optimization problems with continuous variables, labeled Differential Ant-Stigmergy Algorithm (DASA). The perfor...
Peter Korosec, Jurij Silc
GECCO
2009
Springer
107views Optimization» more  GECCO 2009»
15 years 10 months ago
A stigmergy-based algorithm for black-box optimization: noisy function testbed
In this paper, we present a stigmergy-based algorithm for solving optimization problems with continuous variables, labeled Differential Ant-Stigmergy Algorithm (DASA). The perfor...
Peter Korosec, Jurij Silc
121
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ICASSP
2011
IEEE
14 years 9 months ago
Efficiency evaluation and orthogonal basis determination in functional HRTF modeling
This paper consider the problem of how to evaluate the efficiency of a 3D continuous functional HRTF model in representing measured data. The proposed method is based on Karhunen...
Mengqiu Zhang, Rodney A. Kennedy, Thushara D. Abha...