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ICASSP
2011
IEEE
13 years 13 days ago
Bayesian Compressive Sensing for clustered sparse signals
In traditional framework of Compressive Sensing (CS), only sparse prior on the property of signals in time or frequency domain is adopted to guarantee the exact inverse recovery. ...
Lei Yu, Hong Sun, Jean-Pierre Barbot, Gang Zheng
WWW
2005
ACM
14 years 9 months ago
Web log mining with adaptive support thresholds
With the fast increase in Web activities, Web data mining has recently become an important research topic. However, most previous studies of mining path traversal patterns are bas...
Jian Chih Ou, Chang-Hung Lee, Ming-Syan Chen
MUE
2008
IEEE
173views Multimedia» more  MUE 2008»
14 years 3 months ago
Efficient Data Dissemination in Mobile P2P Ad-Hoc Networks for Ubiquitous Computing
In this paper we propose Rank-Based Broadcast (RBB) algorithm using High Order Markov Chain (HOMC) with weight values in mobile p2p ad-hoc networks (MOPNET) for ubiquitous. RBB us...
Do-Hoon Kim, Myoung Rak Lee, Longzhe Han, Hoh Pete...
ICML
2010
IEEE
13 years 9 months ago
Particle Filtered MCMC-MLE with Connections to Contrastive Divergence
Learning undirected graphical models such as Markov random fields is an important machine learning task with applications in many domains. Since it is usually intractable to learn...
Arthur Asuncion, Qiang Liu, Alexander T. Ihler, Pa...
PE
2007
Springer
130views Optimization» more  PE 2007»
13 years 8 months ago
Performability analysis of clustered systems with rejuvenation under varying workload
This paper develops time-based rejuvenation policies to improve the performability measures of a cluster system. Three rejuvenation policies, namely standard rejuvenation, delayed...
Dazhi Wang, Wei Xie, Kishor S. Trivedi