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» Exploration in Metric State Spaces
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ICCV
2009
IEEE
1019views Computer Vision» more  ICCV 2009»
15 years 1 months ago
Similarity Functions for Categorization: from Monolithic to Category Specific
Similarity metrics that are learned from labeled training data can be advantageous in terms of performance and/or efficiency. These learned metrics can then be used in conjuncti...
Boris Babenko, Steve Branson, Serge Belongie
CDC
2008
IEEE
117views Control Systems» more  CDC 2008»
14 years 3 months ago
Sensitive state-space exploration
— In this paper, we describe a simulation-based approach to the verification of high dimensional nonlinear systems subject to disturbances and uncertainty in the initial conditi...
Thao Dang, Alexandre Donzé, Oded Maler, Noa...
EC
2007
120views ECommerce» more  EC 2007»
13 years 9 months ago
On Replacement Strategies in Steady State Evolutionary Algorithms
Steady-State models of Evolutionary Algorithms are widely used, yet surprisingly little attention has been paid to the effects arising from different replacement strategies. This ...
Jim Smith
ICRA
2002
IEEE
92views Robotics» more  ICRA 2002»
14 years 1 months ago
Resolution Complete Rapidly-Exploring Random Trees
Trajectory design for high-dimensional systems with nonconvex constraints is a challenging problem considered in this paper. Classical dynamic programming is often employed, but c...
Peng Cheng, Steven M. LaValle
CHARME
2005
Springer
106views Hardware» more  CHARME 2005»
14 years 2 months ago
Error Detection Using BMC in a Parallel Environment
In this paper, we explore a parallelization of BMC based on state space partitioning. The parallelization is accomplished by executing multiple instances of BMC independently from ...
Subramanian K. Iyer, Jawahar Jain, Mukul R. Prasad...