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152
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ECCV
2008
Springer
16 years 4 months ago
2008
Springer
Recently, models based on conditional random fields (CRF) have produced promising results on labeling sequential data in several scientific fields. However, in the vision task of c...
121
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KDD
2007
ACM
16 years 3 months ago
2007
ACM
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
135
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KDD
2007
ACM
16 years 3 months ago
2007
ACM
Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such...
120
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KDD
2006
ACM
16 years 3 months ago
2006
ACM
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
141
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DASFAA
2010
IEEE
15 years 9 months ago
2010
IEEE
Trajectory clustering has played a crucial role in data analysis since it reveals underlying trends of moving objects. Due to their sequential nature, trajectory data are often rec...