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ICDCSW
2006
IEEE
15 years 6 months ago
Characterization of a Connectivity Measure for Sparse Wireless Multi-hop Networks
The extent to which a wireless multi-hop network is connected is usually measured by the probability that all the nodes form a single connected component. We find this measure, c...
Srinath Perur, Sridhar Iyer
ATAL
2009
Springer
15 years 7 months ago
Using opponent models for efficient negotiation
d Abstract) Koen Hindriks Man-Machine Interaction Group Delft University of Technology Mekelweg 4, Delft, The Netherlands
Koen V. Hindriks, Catholijn M. Jonker, Dmytro Tykh...
76
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BMCBI
2007
105views more  BMCBI 2007»
15 years 21 days ago
Constrained hidden Markov models for population-based haplotyping
abstract Niels Landwehr1 , Taneli Mielik¨ainen2 , Lauri Eronen2 , Hannu Toivonen1,2 , and Heikki Mannila2 1 Machine Learning Lab, Dept. of Comp. Science, University of Freiburg, G...
Niels Landwehr, Taneli Mielikäinen, Lauri Ero...
MICCAI
2009
Springer
16 years 1 months ago
Functional Segmentation of fMRI Data Using Adaptive Non-negative Sparse PCA (ANSPCA)
We propose a novel method for functional segmentation of fMRI data that incorporates multiple functional attributes such as activation effects and functional connectivity, under a ...
Bernard Ng, Rafeef Abugharbieh, Martin J. McKeow...
CISS
2008
IEEE
15 years 7 months ago
Distributed processing in frames for sparse approximation
—Beyond signal processing applications, frames are also powerful tools for modeling the sensing and information processing of many biological and man-made systems that exhibit in...
Christopher J. Rozell