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IJON
2006
91views more  IJON 2006»
15 years 7 months ago
Symmetry axis extraction by a neural network
This paper proposes a neural network model that extracts axes of symmetry from visual patterns. The input patterns can be line drawings, plane figures or gray-scaled natural image...
Kunihiko Fukushima, Masayuki Kikuchi
GD
1999
Springer
15 years 11 months ago
Centrality in Policy Network Drawings
—We introduce a network visualization technique that supports an analytical method applied in the social sciences. Policy network analysis is an approach to study policy making s...
Ulrik Brandes, Patrick Kenis, Dorothea Wagner
WINET
2008
81views more  WINET 2008»
15 years 7 months ago
Interference power statistics in ad-hoc and sensor networks
Abstract There exist accurate calculation methods for estimation of interference power sum statistics in fixedtopology wireless networks based on the log-normal shadowing radio mod...
Ramin Hekmat, Piet Van Mieghem
IJCNN
2000
IEEE
15 years 11 months ago
Competing Hidden Markov Models on the Self-Organizing Map
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
Panu Somervuo
ICC
2009
IEEE
121views Communications» more  ICC 2009»
15 years 5 months ago
Throughput Scaling of Wireless Networks With Random Connections
This work studies the throughput scaling laws of ad hoc wireless networks in the limit of a large number of nodes. A random connections model is assumed in which the channel connec...
Shengshan Cui, Alexander M. Haimovich, Oren Somekh...