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CHI
2010
ACM
16 years 1 months ago
Detecting professional versus personal closeness using an enterprise social network site
In this work we analyze the behavior on a company-internal social network site to determine which interaction patterns signal closeness between colleagues. Regression analysis sug...
Anna Wu, Joan Morris DiMicco, David R. Millen
ECML
2007
Springer
16 years 27 days ago
On Phase Transitions in Learning Sparse Networks
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ron...
INTERACT
2003
15 years 8 months ago
Managing one's Social Network: Does Age Make a Difference?
: Keeping in touch with family and friends should be easier now that we have a repertoire of communication tools available to us (e.g. SMS, IM, email, mobile and landline phones). ...
Hilary Smith, Yvonne Rogers, Mark Brady
ICPR
2008
IEEE
16 years 8 months ago
Dynamic target classification in wireless sensor networks
Feature extraction and classification are two important components in pattern recognition. In this paper, we propose dynamic target classification in WSNs. The main idea of this a...
Ying Sun, Hairong Qi
ARVLSI
1995
IEEE
155views VLSI» more  ARVLSI 1995»
15 years 10 months ago
Low-latency plesiochronous data retiming
A new method of retiming plesiochronous data is described. This method features latency of less than a cell-time and requires only minimal support circuitry. No flow control or ha...
Larry R. Dennison, William J. Dally, Thucydides Xa...