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232
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KDD
2008
ACM
16 years 7 months ago
2008
ACM
: Locality Sensitive Hash functions are invaluable tools for approximate near neighbor problems in high dimensional spaces. In this work, we are focused on LSH schemes where the si...
201
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KDD
2008
ACM
16 years 7 months ago
2008
ACM
Record label companies would like to identify potential artists as early as possible in their careers, before other companies approach the artists with competing contracts. The va...
222
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KDD
2008
ACM
16 years 7 months ago
2008
ACM
This work introduces a new family of link-based dissimilarity measures between nodes of a weighted directed graph. This measure, called the randomized shortest-path (RSP) dissimil...
196
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KDD
2008
ACM
16 years 7 months ago
2008
ACM
Traditional spectral classification has been proved to be effective in dealing with both labeled and unlabeled data when these data are from the same domain. In many real world ap...
197
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KDD
2007
ACM
16 years 7 months ago
2007
ACM
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...