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» Model Based Importance Analysis for Minimal Cut Sets
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JCB
2008
170views more  JCB 2008»
15 years 1 months ago
Efficiently Identifying Max-Gap Clusters in Pairwise Genome Comparison
The spatial clustering of genes across different genomes has been used to study important problems in comparative genomics, from identification of operons to detection of homologo...
Xu Ling, Xin He, Dong Xin, Jiawei Han
108
Voted
IDEAL
2000
Springer
15 years 5 months ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén
122
Voted
DSN
2004
IEEE
15 years 5 months ago
Robust Aggregation Protocols for Large-Scale Overlay Networks
Aggregation refers to a set of functions that provide global information about a distributed system. These functions operate on numeric values distributed over the system and can ...
Alberto Montresor, Márk Jelasity, Özal...
129
Voted
ICASSP
2009
IEEE
14 years 11 months ago
Robust joint localization and time synchronization in wireless sensor networks with bounded anchor uncertainties
A unified framework to jointly solve the two problems of localization and synchronization at the same time is presented in this paper. The joint approach is attractive because it ...
Jun Zheng, Yik-Chung Wu
MM
2005
ACM
181views Multimedia» more  MM 2005»
15 years 7 months ago
Tracking news stories across different sources
Information linkage is becoming more and more important in this digital age. In this paper, we propose a concept tracking method, which links the news stories with the same topic ...
Yun Zhai, Mubarak Shah