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» Hardening Functions for Large Scale Distributed Computations
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166
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TSP
2012
14 years 3 days ago
Distributed Covariance Estimation in Gaussian Graphical Models
—We consider distributed estimation of the inverse covariance matrix in Gaussian graphical models. These models factorize the multivariate distribution and allow for efficient d...
Ami Wiesel, Alfred O. Hero
BMVC
2001
15 years 7 months ago
Tracking multiple sports players through occlusion, congestion and scale
Tracking sports players over a large playing area is a challenging problem. The players move quickly, and have large variations in their silhouettes. This paper presents a framewo...
Chris J. Needham, Roger D. Boyle
DEXA
2005
Springer
148views Database» more  DEXA 2005»
15 years 10 months ago
XG: A Data-Driven Computation Grid for Enterprise-Scale Mining
In this paper we introduce a novel architecture for data processing, based on a functional fusion between a data and a computation layer. We show how such an architecture can be le...
Radu Sion, Ramesh Natarajan, Inderpal Narang, Wen-...
170
Voted
PE
2011
Springer
167views Optimization» more  PE 2011»
14 years 11 months ago
Passage-time computation and aggregation strategies for large semi-Markov processes
High-level semi-Markov modelling paradigms such as semi-Markov stochastic Petri nets and process algebras are used to capture realistic performance models of computer and communic...
Marcel C. Guenther, Nicholas J. Dingle, Jeremy T. ...
128
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HIPC
2005
Springer
15 years 10 months ago
The Impact of Noise on the Scaling of Collectives: A Theoretical Approach
The performance of parallel applications running on large clusters is known to degrade due to the interference of kernel and daemon activities on individual nodes, often referred t...
Saurabh Agarwal, Rahul Garg, Nisheeth K. Vishnoi