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ICPR
2002
IEEE
14 years 11 months ago
Relational Graph Labelling Using Learning Techniques and Markov Random Fields
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
Denis Rivière, Jean-Francois Mangin, Jean-M...

Book
534views
15 years 8 months ago
Neural Networks - A Systematic Introduction
This book covers the following topics: The biological paradigm, Threshold logic, Weighted Networks, The Perceptron, Perceptron learning, Unsupervised learning and clustering algori...
Raul Rojas
JSAC
2007
63views more  JSAC 2007»
13 years 10 months ago
A new survivable mapping problem in IP-over-WDM networks
— We introduce a new version of the widely studied survivable mapping problem in IP-over-WDM networks. The new problem allows augmenting the given logical topology and is describ...
Chang Liu, Lu Ruan
CIKM
2006
Springer
14 years 1 months ago
Topic evolution and social interactions: how authors effect research
We propose a method for discovering the dependency relationships between the topics of documents shared in social networks using the latent social interactions, attempting to answ...
Ding Zhou, Xiang Ji, Hongyuan Zha, C. Lee Giles
JAIR
2002
120views more  JAIR 2002»
13 years 9 months ago
Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap
Hidden Markov models hmms and partially observable Markov decision processes pomdps provide useful tools for modeling dynamical systems. They are particularly useful for represent...
Hagit Shatkay, Leslie Pack Kaelbling