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TKDE
2010
251views more  TKDE 2010»
15 years 4 months ago
Clustering Uncertain Data Using Voronoi Diagrams and R-Tree Index
—We study the problem of clustering uncertain objects whose locations are described by probability density functions (pdf). We show that the UK-means algorithm, which generalises...
Ben Kao, Sau Dan Lee, Foris K. F. Lee, David Wai-L...
SAC
2010
ACM
15 years 11 months ago
Of mice and terms: clustering algorithms on ambiguous terms in folksonomies
Developed using the principles of the Model-View-Controller architectural pattern, FolksEngine is a parametric search engine for folksonomies that allows us to test arbitrary sear...
Nicola Raffaele Di Matteo, Silvio Peroni, Fabio Ta...
CLOUD
2010
ACM
15 years 11 months ago
Hermes: clustering users in large-scale e-mail services
Hermes is an optimization engine for large-scale enterprise e-mail services. Such services could be hosted by a virtualized e-mail service provider, or by dedicated enterprise dat...
Thomas Karagiannis, Christos Gkantsidis, Dushyanth...
ECCV
2010
Springer
15 years 11 months ago
Building Compact Local Pairwise Codebook with Joint Feature Space Clustering
Abstract. This paper presents a simple, yet effective method of building a codebook for pairs of spatially close SIFT descriptors. Integrating such codebook into the popular bag-o...
CORR
2010
Springer
155views Education» more  CORR 2010»
15 years 6 months ago
Repairing People Trajectories Based on Point Clustering
This paper presents a method for improving any object tracking algorithm based on machine learning. During the training phase, important trajectory features are extracted which are...
Duc Phu Chau, François Brémond, Etie...