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121
Voted
KDD
2012
ACM
13 years 2 months ago
2012
ACM
Traditional co-clustering methods identify block structures from static data matrices. However, the data matrices in many applications are dynamic; that is, they evolve smoothly o...
142
Voted
KDD
2012
ACM
13 years 2 months ago
2012
ACM
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
116
click to vote
KDD
2012
ACM
13 years 2 months ago
2012
ACM
The problem of efficiently finding the best match for a query in a given set with respect to the Euclidean distance or the cosine similarity has been extensively studied. However...
144
Voted
KDD
2012
ACM
13 years 2 months ago
2012
ACM
Multi-label learning arises in many real-world tasks where an object is naturally associated with multiple concepts. It is well-accepted that, in order to achieve a good performan...
133
Voted
KDD
2012
ACM
13 years 2 months ago
2012
ACM
The communities of a social network are sets of vertices with more connections inside the set than outside. We theoretically demonstrate that two commonly observed properties of s...