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122
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AAAI
2000
15 years 4 months ago
Localizing Search in Reinforcement Learning
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
Gregory Z. Grudic, Lyle H. Ungar
98
Voted
GLOBECOM
2008
IEEE
15 years 9 months ago
Guaranteed Boxed Localization in MANETs by Interval Analysis and Constraints Propagation Techniques
Abstract—In this contribution, we propose an original algorithm for self-localization in mobile ad-hoc networks. The proposed technique, based on interval analysis, is suited to ...
Farah Mourad, Hichem Snoussi, Fahed Abdallah, C&ea...
137
Voted
AROBOTS
2006
119views more  AROBOTS 2006»
15 years 2 months ago
A Discussion of Simultaneous Localization and Mapping
This paper aims at a discussion of the structure of the SLAM problem. The analysis is not strictly formal but based both on informal studies and mathematical derivation. The first ...
Udo Frese
100
Voted
ICDCS
2009
IEEE
15 years 12 months ago
A Commutative Replicated Data Type for Cooperative Editing
A Commutative Replicated Data Type (CRDT) is one where all concurrent operations commute. The replicas of a CRDT converge automatically, without complex concurrency control. This ...
Nuno M. Preguiça, Joan Manuel Marquè...
116
Voted
ICCV
1998
IEEE
16 years 4 months ago
View-Based Object Matching
W e introduce a novel view-based object representation, called the saliency map graph (SMG), which captures the salient regions of an object view at multiple scales using a wavele...
Ali Shokoufandeh, Ivan Marsic, Sven J. Dickinson