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IEEEHPCS
2010
15 years 2 months ago
Discovering closed frequent itemsets on multicore: Parallelizing computations and optimizing memory accesses
The problem of closed frequent itemset discovery is a fundamental problem of data mining, having applications in numerous domains. It is thus very important to have efficient par...
Benjamin Négrevergne, Alexandre Termier, Je...
138
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INFORMS
2010
177views more  INFORMS 2010»
15 years 2 months ago
Binarized Support Vector Machines
The widely used Support Vector Machine (SVM) method has shown to yield very good results in Supervised Classification problems. Other methods such as Classification Trees have bec...
Emilio Carrizosa, Belen Martin-Barragan, Dolores R...
PAMI
2010
164views more  PAMI 2010»
15 years 2 months ago
Large-Scale Discovery of Spatially Related Images
— We propose a randomized data mining method that finds clusters of spatially overlapping images. The core of the method relies on the min-Hash algorithm for fast detection of p...
Ondrej Chum, Jiri Matas
PVLDB
2010
135views more  PVLDB 2010»
15 years 2 months ago
P2PDocTagger: Content management through automated P2P collaborative tagging
As the amount of user generated content grows, personal information management has become a challenging problem. Several information management approaches, such as desktop search,...
Hock Hee Ang, Vivekanand Gopalkrishnan, Wee Keong ...
138
Voted
BMVC
2010
15 years 1 months ago
Probabilistic Latent Sequential Motifs: Discovering Temporal Activity Patterns in Video Scenes
This paper introduces a novel probabilistic activity modeling approach that mines recurrent sequential patterns from documents given as word-time occurrences. In this model, docum...
Jagannadan Varadarajan, Rémi Emonet, Jean-M...
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