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ICDM
2007
IEEE
150views Data Mining» more  ICDM 2007»
14 years 2 months ago
Connections between Mining Frequent Itemsets and Learning Generative Models
Frequent itemsets mining is a popular framework for pattern discovery. In this framework, given a database of customer transactions, the task is to unearth all patterns in the for...
Srivatsan Laxman, Prasad Naldurg, Raja Sripada, Ra...
DSN
2002
IEEE
14 years 1 months ago
Pinpoint: Problem Determination in Large, Dynamic Internet Services
Traditional problem determination techniques rely on static dependency models that are difficult to generate accurately in today’s large, distributed, and dynamic application e...
Mike Y. Chen, Emre Kiciman, Eugene Fratkin, Armand...
CVPR
2007
IEEE
14 years 10 months ago
Groupwise Shape Registration on Raw Edge Sequence via A Spatio-Temporal Generative Model
Groupwise shape registration of raw edge sequence is addressed. Automatically extracted edge maps are treated as noised input shape of the deformable object and their registration...
Huijun Di, Rao Naveed Iqbal, Guangyou Xu, Linmi Ta...
ICIAR
2009
Springer
14 years 1 months ago
Abnormal Behavior Recognition Using Self-Adaptive Hidden Markov Models
A self-adaptive Hidden Markov Model (SA-HMM) based framework is proposed for behavior recognition in this paper. In this model, if an unknown sequence cannot be classified into an...
Jun Yin, Yan Meng
TASE
2008
IEEE
13 years 8 months ago
Optimization of Joint Replacement Policies for Multipart Systems by a Rollout Framework
Maintaining an asset with life-limited parts, e.g., a jet engine or an electric generator, may be costly. Certain costs, e.g., setup cost, can be shared if some parts of the asset ...
Tao Sun, Qianchuan Zhao, Peter B. Luh, Robert N. T...