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» Scaling Clustering Algorithms to Large Databases
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ICDM
2005
IEEE
188views Data Mining» more  ICDM 2005»
15 years 7 months ago
CLUMP: A Scalable and Robust Framework for Structure Discovery
We introduce a robust and efficient framework called CLUMP (CLustering Using Multiple Prototypes) for unsupervised discovery of structure in data. CLUMP relies on finding multip...
Kunal Punera, Joydeep Ghosh
97
Voted
ICDM
2003
IEEE
99views Data Mining» more  ICDM 2003»
15 years 7 months ago
Scalable Model-based Clustering by Working on Data Summaries
The scalability problem in data mining involves the development of methods for handling large databases with limited computational resources. In this paper, we present a two-phase...
Huidong Jin, Man Leung Wong, Kwong-Sak Leung
104
Voted
ICDAR
2009
IEEE
15 years 8 months ago
Text Detection and Localization in Complex Scene Images using Constrained AdaBoost Algorithm
We have proposed a complete system for text detection and localization in gray scale scene images. A boosting framework integrating feature and weak classifier selection based on...
Shehzad Muhammad Hanif, Lionel Prevost
CIKM
2009
Springer
15 years 6 months ago
Density-based clustering using graphics processors
During the last few years, GPUs have evolved from simple devices for the display signal preparation into powerful coprocessors that do not only support typical computer graphics t...
Christian Böhm, Robert Noll, Claudia Plant, B...
LWA
2007
15 years 3 months ago
Conceptual Clustering of Social Bookmarking Sites
Abstract: Currently, social bookmarking systems provide intuitive support for browsing locally their content. A global view is usually presented by the tag cloud of the system, but...
Miranda Grahl, Andreas Hotho, Gerd Stumme