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AIPS
2007
15 years 5 days ago
A Fast Incremental Algorithm for Maintaining Dispatchability of Partially Controllable Plans
Autonomous systems operating in real-world environments must be able to plan, schedule, and execute missions while robustly adapting to uncertainty and disturbances. Previous work...
Julie A. Shah, John Stedl, Brian C. Williams, Paul...
CVPR
2009
IEEE
16 years 2 months ago
Tracking of a Non-Rigid Object via Patch-based Dynamic Appearance Modeling and Adaptive Basin Hopping Monte Carlo Sampling
We propose a novel tracking algorithm for the target of which geometric appearance changes drastically over time. To track it, we present a local patch-based appearance model and p...
Junseok Kwon (Seoul National University), Kyoung M...
KI
2002
Springer
14 years 9 months ago
Advantages, Opportunities and Limits of Empirical Evaluations: Evaluating Adaptive Systems
While empirical evaluations are a common research method in some areas of Artificial Intelligence (AI), others still neglect this approach. This article outlines both the opportun...
Stephan Weibelzahl, Gerhard Weber
ICMCS
2008
IEEE
175views Multimedia» more  ICMCS 2008»
15 years 4 months ago
Fast mode decision for adaptive prediction error coding
In [1], Adaptive Prediction Error Coding (APEC) in spatial and frequency domain is proposed and significantly improves the coding efficiency of video coders. However, this approac...
Cixun Zhang, Kemal Ugur, Moncef Gabbouj
GECCO
2000
Springer
120views Optimization» more  GECCO 2000»
15 years 1 months ago
An Improved Adaptive Multi-Start Approach to Finding Near-Optimal Solutions to the Euclidean TSP
We present an "adaptive multi-start" genetic algorithm for the Euclidean traveling salesman problem that uses a population of tours locally optimized by the Lin-Kernigha...
Dan Bonachea, Eugene Ingerman, Joshua Levy, Scott ...