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CVPR
2005
IEEE
16 years 8 months ago
Damped Newton Algorithms for Matrix Factorization with Missing Data
The problem of low-rank matrix factorization in the presence of missing data has seen significant attention in recent computer vision research. The approach that dominates the lit...
A. M. Buchanan, Andrew W. Fitzgibbon
IPSN
2009
Springer
16 years 25 days ago
Near-optimal Bayesian localization via incoherence and sparsity
This paper exploits recent developments in sparse approximation and compressive sensing to efficiently perform localization in a sensor network. We introduce a Bayesian framework...
Volkan Cevher, Petros Boufounos, Richard G. Barani...
SASO
2009
IEEE
16 years 24 days ago
Optimising Sensor Layouts for Direct Measurement of Discrete Variables
An optimal sensor layout is attained when a limited number of sensors are placed in an area such that the cost of the placement is minimised while the value of the obtained inform...
X. Rosalind Wang, George Mathews, Don Price, Mikha...
IROS
2009
IEEE
199views Robotics» more  IROS 2009»
16 years 21 days ago
Multiswarm Particle Filter for vision based SLAM
Abstract— Particle Filters have been widely used as a powerful optimization tool for nonlinear, non-Gaussian dynamic models such as Simultaneous Localization and Mapping (SLAM) a...
Hee Seok Lee, Kyoung Mu Lee
IPPS
2008
IEEE
16 years 14 days ago
Mobility control schemes with quick convergence in wireless sensor networks
In the near future, wireless sensor networks (WSN) performing sensing and communication tasks will be widely deployed as technology rapidly advances. Communication is one of the e...
Xiao Chen, Zhen Jiang, Jie Wu