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» Default Clustering from Sparse Data Sets
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PODC
2000
ACM
14 years 1 months ago
Garbage collection of timestamped data in Stampede
Stampede is a parallel programming system to facilitate the programming of interactive multimedia applications on clusters of SMPs. In a Stampede application, a variable number of...
Rishiyur S. Nikhil, Umakishore Ramachandran
SIGIR
1999
ACM
14 years 1 months ago
Deriving Concept Hierarchies from Text
This paper presents a means of automatically deriving a hierarchical organization of concepts from a set of documents without use of training data or standard clustering technique...
Mark Sanderson, W. Bruce Croft
ICDE
2010
IEEE
206views Database» more  ICDE 2010»
13 years 11 months ago
HECATAEUS: Regulating Schema Evolution
HECATAEUS is an open-source software tool for enabling impact prediction, what-if analysis, and regulation of relational database schema evolution. We follow a graph theoretic appr...
George Papastefanatos, Panos Vassiliadis, Alkis Si...
NIPS
2003
13 years 10 months ago
Geometric Clustering Using the Information Bottleneck Method
We argue that K–means and deterministic annealing algorithms for geometric clustering can be derived from the more general Information Bottleneck approach. If we cluster the ide...
Susanne Still, William Bialek, Léon Bottou
AAAI
2010
13 years 10 months ago
Unsupervised Learning of Event Classes from Video
We present a method for unsupervised learning of event classes from videos in which multiple actions might occur simultaneously. It is assumed that all such activities are produce...
Muralikrishna Sridhar, Anthony G. Cohn, David C. H...