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ICCV
2005
IEEE
14 years 2 months ago
Inference of Non-Overlapping Camera Network Topology by Measuring Statistical Dependence
We present an approach for inferring the topology of a camera network by measuring statistical dependence between observations in different cameras. Two cameras are considered con...
Kinh Tieu, Gerald Dalley, W. Eric L. Grimson
EWSN
2006
Springer
14 years 8 months ago
Sift: A MAC Protocol for Event-Driven Wireless Sensor Networks
Nodes in sensor networks often encounter spatially-correlated contention, where multiple nodes in the same neighborhood all sense an event they need to transmit information about....
Kyle Jamieson, Hari Balakrishnan, Y. C. Tay
PG
2003
IEEE
14 years 2 months ago
Neural Meshes: Statistical Learning Based on Normals
We present a method for the adaptive reconstruction of a surface directly from an unorganized point cloud. The algorithm is based on an incrementally expanding Neural Network and ...
Won-Ki Jeong, Ioannis P. Ivrissimtzis, Hans-Peter ...
EMNLP
2006
13 years 10 months ago
Competitive generative models with structure learning for NLP classification tasks
In this paper we show that generative models are competitive with and sometimes superior to discriminative models, when both kinds of models are allowed to learn structures that a...
Kristina Toutanova
SGAI
2007
Springer
14 years 3 months ago
Learning Sets of Sub-Models for Spatio-Temporal Prediction
In this paper we describe a novel technique which implements a spatiotemporal model as a set of sub-models based on first order logic. These sub-models model different, typicall...
Andrew Bennett, Derek R. Magee