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TSP
2008
106views more  TSP 2008»
15 years 6 months ago
Guaranteeing Practical Convergence in Algorithms for Sensor and Source Localization
This paper considers localization of a source or a sensor from distance measurements. We argue that linear algorithms proposed for this purpose are susceptible to poor noise perfor...
Baris Fidan, Soura Dasgupta, Brian D. O. Anderson
IEEECSA
2009
15 years 4 months ago
A Fine-Grained Localization Scheme Using a Mobile Beacon Node for Wireless Sensor Networks
In this paper, we present a fine-grained localization algorithm for wireless sensor networks using a mobile beacon node. The algorithm is based on distance measurement using RSSI. ...
Kezhong Liu, Ji Xiong, Yongqiang Cui, Dong Han
JMLR
2010
186views more  JMLR 2010»
15 years 1 months ago
Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting
We address instance-based learning from a perceptual organization standpoint and present methods for dimensionality estimation, manifold learning and function approximation. Under...
Philippos Mordohai, Gérard G. Medioni
ATAL
2011
Springer
14 years 6 months ago
Metric learning for reinforcement learning agents
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
Matthew E. Taylor, Brian Kulis, Fei Sha
INFOCOM
2012
IEEE
13 years 9 months ago
A robust boundary detection algorithm based on connectivity only for 3D wireless sensor networks
—In this work we develop a distributed boundary detection algorithm, dubbed Coconut, for 3D wireless sensor networks. It first constructs a tetrahedral structure to delineate th...
Hongyu Zhou, Hongyi Wu, Miao Jin