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TMM
2002
104views more  TMM 2002»
15 years 6 months ago
Spatial contextual classification and prediction models for mining geospatial data
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsa...
TROB
2002
174views more  TROB 2002»
15 years 6 months ago
A general algorithm for robot formations using local sensing and minimal communication
Abstract-We study the problem of achieving global behavior in a group of distributed robots using only local sensing and minimal communication, in the context of formations. The go...
Jakob Fredslund, Maja J. Mataric
ML
2007
ACM
127views Machine Learning» more  ML 2007»
15 years 6 months ago
Density estimation with stagewise optimization of the empirical risk
We consider multivariate density estimation with identically distributed observations. We study a density estimator which is a convex combination of functions in a dictionary and ...
Jussi Klemelä
PE
2007
Springer
112views Optimization» more  PE 2007»
15 years 6 months ago
Multicast inference of temporal loss characteristics
Multicast-based inference has been proposed as a method of estimating average loss rates of internal network links, using end-to-end loss measurements of probes sent over a multic...
Vijay Arya, Nick G. Duffield, Darryl Veitch
QUESTA
2007
98views more  QUESTA 2007»
15 years 6 months ago
The acquisition queue
We propose a new queueing model named the acquisition queue. It differs from conventional queueing models in that the server not only serves customers, but also performs acquisit...
Dee Denteneer, J. S. H. van Leeuwaarden, Ivo J. B....