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UAI
1993
15 years 5 months ago
Using Causal Information and Local Measures to Learn Bayesian Networks
In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...
Wai Lam, Fahiem Bacchus
INFOCOM
2008
IEEE
15 years 10 months ago
APL: Autonomous Passive Localization for Wireless Sensors Deployed in Road Networks
Abstract—In road networks, sensors are deployed sparsely (hundreds of meters apart) to save costs. This makes the existing localization solutions based on the ranging be ineffect...
Jaehoon Jeong, Shuo Guo, Tian He, David Du
126
Voted
DCOSS
2007
Springer
15 years 10 months ago
Localization for Anchoritic Sensor Networks
We introduce a class of anchoritic sensor networks, where communications between sensor nodes are undesirable or infeasible due to, e.g., harsh environments, energy constraints, or...
Yuliy M. Baryshnikov, Jian Tan
151
Voted
ICPR
2006
IEEE
15 years 9 months ago
Multiscale Feature Extraction of Finger-Vein Patterns Based on Curvelets and Local Interconnection Structure Neural Network
In this paper, we originally propose a multiscale feature extraction method of finger-vein patterns based on curvelets and local interconnection structure neural networks. The cur...
Zhongbo Zhang, Siliang Ma, Xiao Han
143
Voted
IPSN
2003
Springer
15 years 9 months ago
Organizing a Global Coordinate System from Local Information on an Ad Hoc Sensor Network
Abstract. We demonstrate that it is possible to achieve accurate localization and tracking of a target in a randomly placed wireless sensor network composed of inexpensive componen...
Radhika Nagpal, Howard E. Shrobe, Jonathan Bachrac...