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TIP
2010
97views more  TIP 2010»
14 years 8 months ago
Image Clustering Using Local Discriminant Models and Global Integration
In this paper, we propose a new image clustering algorithm, referred to as Clustering using Local Discriminant Models and Global Integration (LDMGI). To deal with the data points s...
Yi Yang, Dong Xu, Feiping Nie, Shuicheng Yan, Yuet...
ICDCS
2009
IEEE
14 years 11 months ago
Selective Protection: A Cost-Efficient Backup Scheme for Link State Routing
In recent years, there are substantial demands to reduce packet loss in the Internet. Among the schemes proposed, finding backup paths in advance is considered to be an effective ...
Meijia Hou, Dan Wang, Mingwei Xu, Jiahai Yang
FMSD
2006
85views more  FMSD 2006»
15 years 1 months ago
Distributed disk-based algorithms for model checking very large Markov chains
In this paper we present data structures and distributed algorithms for CSL model checking-based performance and dependability evaluation. We show that all the necessary computatio...
Alexander Bell, Boudewijn R. Haverkort
ADBIS
2007
Springer
132views Database» more  ADBIS 2007»
15 years 7 months ago
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
Rayner Alfred, Dimitar Kazakov
KDD
2002
ACM
155views Data Mining» more  KDD 2002»
16 years 1 months ago
SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets
We propose a new clustering algorithm, called SyMP, which is based on synchronization of pulse-coupled oscillators. SyMP represents each data point by an Integrate-and-Fire oscill...
Hichem Frigui