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» Algorithms for time series knowledge mining
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ASIAMS
2007
IEEE
13 years 11 months ago
Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation
This talk has two parts explaining the significance of Rough sets in granular computing in terms of rough set rules and in uncertainty handling in terms of lower and upper approxi...
Sankar K. Pal
HICSS
2002
IEEE
113views Biometrics» more  HICSS 2002»
13 years 10 months ago
Persona: A Contextualized and Personalized Web Search
Abstract— Recent advances in graph-based search techniques derived from Kleinberg’s work [1] have been impressive. This paper further improves the graph-based search algorithm ...
Francisco Tanudjaja, Lik Mu
IPSN
2010
Springer
14 years 7 days ago
Diagnostic powertracing for sensor node failure analysis
Troubleshooting unresponsive sensor nodes is a significant challenge in remote sensor network deployments. This paper introduces the tele-diagnostic powertracer, an in-situ troub...
Mohammad Maifi Hasan Khan, Hieu Khac Le, Michael L...
SC
2005
ACM
13 years 11 months ago
Bridging the Macro and Micro: A Computing Intensive Earthquake Study Using Discovery Net
We present the development and use of a novel distributed geohazard modeling environment for the analysis and interpretation of large scale earthquake data sets. Our work demonstr...
Yike Guo, Jian Guo Liu, Moustafa Ghanem, Kyran Mis...
TKDE
2012
270views Formal Methods» more  TKDE 2012»
11 years 7 months ago
Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Din...