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» Maximal Vector Computation in Large Data Sets
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CVPR
2011
IEEE
15 years 2 months ago
Extracting and Locating Temporal Motifs in Video Scenes Using a Hierarchical Non Parametric Bayesian Model
In this paper, we present an unsupervised method for mining activities in videos. From unlabeled video sequences of a scene, our method can automatically recover what are the recu...
Ré, mi Emonet, Jagannadan Varadarajan, Jean-Marc ...
WSDM
2012
ACM
246views Data Mining» more  WSDM 2012»
14 years 1 months ago
Auralist: introducing serendipity into music recommendation
Recommendation systems exist to help users discover content in a large body of items. An ideal recommendation system should mimic the actions of a trusted friend or expert, produc...
Yuan Cao Zhang, Diarmuid Ó Séaghdha,...
ISSTA
2009
ACM
16 years 26 days ago
Automatic system testing of programs without test oracles
Metamorphic testing has been shown to be a simple yet effective technique in addressing the quality assurance of applications that do not have test oracles, i.e., for which it is ...
Christian Murphy, Kuang Shen, Gail E. Kaiser
SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
16 years 3 months ago
Near-optimal Supervised Feature Selection among Frequent Subgraphs.
Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and an...
Alexander J. Smola, Arthur Gretton, Hans-Peter Kri...
BMCBI
2008
95views more  BMCBI 2008»
15 years 6 months ago
Mining protein networks for synthetic genetic interactions
Background: The local connectivity and global position of a protein in a protein interaction network are known to correlate with some of its functional properties, including its e...
Sri R. Paladugu, Shan Zhao, Animesh Ray, Alpan Rav...