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» Approximation algorithms for projective clustering
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116
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ICIP
2007
IEEE
16 years 2 months ago
Unsupervised Modeling of Object Tracks for Fast Anomaly Detection
A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...
Tomas Izo, W. Eric L. Grimson
88
Voted
CONCURRENCY
2008
84views more  CONCURRENCY 2008»
15 years 21 days ago
Dynamic allocation in a self-scaling cluster database
Abstract. Database systems have been vital for all forms of data processing for a long time. In recent years, the amount of processed data has been growing dramatically, even in sm...
Tilmann Rabl, Marc Pfeffer, Harald Kosch
89
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CORR
2007
Springer
109views Education» more  CORR 2007»
15 years 18 days ago
Self-Organising management of Grid environments
: This paper presents basic concepts, architectural principles and algorithms for efficient resource and security management in cluster computing environments and the Grid. The wor...
Ioannis Liabotis, Ognjen Prnjat, Temitope Olukemi,...
152
Voted
BILDMED
2011
245views Algorithms» more  BILDMED 2011»
14 years 4 months ago
Clustering-Based Detection of Anatomical Features on Organic Shapes
Abstract. Robust and accurate automatic detection of anatomical features on organic shapes is a challenging task. Despite a rough similarity, each shape is unique. To cope with thi...
Konrad Sickel, Vojtech Bubnik
121
Voted
STACS
2007
Springer
15 years 6 months ago
Small Space Representations for Metric Min-Sum k -Clustering and Their Applications
The min-sum k-clustering problem is to partition a metric space (P, d) into k clusters C1, . . . , Ck ⊆ P such that k i=1 p,q∈Ci d(p, q) is minimized. We show the first effi...
Artur Czumaj, Christian Sohler