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CVPR
1999
IEEE
14 years 6 months ago
Optimal Rigid Motion Estimation and Performance Evaluation with Bootstrap
A new method for 3D rigid motion estimation is derived under the most general assumption that the measurements are corrupted by inhomogeneous and anisotropic, i.e., heteroscedasti...
Bogdan Matei, Peter Meer
MOBIHOC
2006
ACM
14 years 4 months ago
Distributed localization using noisy distance and angle information
Localization is an important and extensively studied problem in ad-hoc wireless sensor networks. Given the connectivity graph of the sensor nodes, along with additional local info...
Amitabh Basu, Jie Gao, Joseph S. B. Mitchell, Giri...
CEC
2011
IEEE
12 years 4 months ago
Stochastic Natural Gradient Descent by estimation of empirical covariances
—Stochastic relaxation aims at finding the minimum of a fitness function by identifying a proper sequence of distributions, in a given model, that minimize the expected value o...
Luigi Malagò, Matteo Matteucci, Giovanni Pi...
CIA
2007
Springer
13 years 11 months ago
Quantifying the Expected Utility of Information in Multi-agent Scheduling Tasks
Abstract. In this paper we investigate methods for analyzing the expected value of adding information in distributed task scheduling problems. As scheduling problems are NP-complet...
Avi Rosenfeld, Sarit Kraus, Charlie Ortiz
IROS
2009
IEEE
163views Robotics» more  IROS 2009»
13 years 11 months ago
On the performance of random linear projections for sampling-based motion planning
— Sampling-based motion planners are often used to solve very high-dimensional planning problems. Many recent algorithms use projections of the state space to estimate properties...
Ioan Alexandru Sucan, Lydia E. Kavraki