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IOR
2006
163views more  IOR 2006»
15 years 6 months ago
Adaptive Importance Sampling Technique for Markov Chains Using Stochastic Approximation
For a discrete-time finite-state Markov chain, we develop an adaptive importance sampling scheme to estimate the expected total cost before hitting a set of terminal states. This s...
T. P. I. Ahamed, Vivek S. Borkar, S. Juneja
IROS
2008
IEEE
142views Robotics» more  IROS 2008»
16 years 1 months ago
Apprenticeship learning for motion planning with application to parking lot navigation
— Motion and path-planning algorithms often use complex cost functions for both global navigation and local smoothing of trajectories. Obtaining good results typically requires c...
Pieter Abbeel, Dmitri Dolgov, Andrew Y. Ng, Sebast...
CVPR
2006
IEEE
16 years 21 days ago
Globally Optimal Grouping for Symmetric Boundaries
Many natural and man-made structures have a boundary that shows certain level of bilateral symmetry, a property that has been used to solve many computer-vision tasks. In this pap...
Joachim S. Stahl, Song Wang
IROS
2006
IEEE
120views Robotics» more  IROS 2006»
16 years 19 days ago
Optimal local map size for EKF-based SLAM
Abstract— In this paper we show how to optimize the computational cost and maximize consistency in EKF-based SLAM for large environments. We combine Local Mapping with Map Joinin...
Lina María Paz, José Neira
HICSS
2005
IEEE
188views Biometrics» more  HICSS 2005»
16 years 7 days ago
Consumer Search Behavior in Online Shopping Environments
This paper explores search behavior of online shoppers. Information economics literature suggests that search cost in electronic markets has essentially been reduced to zero as co...
Nanda Kumar, Karl Reiner Lang, Qian Peng