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NIPS
2008
13 years 10 months ago
Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...
Guangzhi Cao, Charles A. Bouman
WAE
2001
281views Algorithms» more  WAE 2001»
13 years 10 months ago
Using PRAM Algorithms on a Uniform-Memory-Access Shared-Memory Architecture
The ability to provide uniform shared-memory access to a significant number of processors in a single SMP node brings us much closer to the ideal PRAM parallel computer. In this pa...
David A. Bader, Ajith K. Illendula, Bernard M. E. ...
GLOBECOM
2008
IEEE
13 years 9 months ago
Network Planning for Next-Generation Metropolitan-Area Broadband Access under EPON-WiMAX Integration
Abstract--This paper tackles a fundamental problem of network planning and dimensioning under EPON-WiMAX integration for next-generation wireless metropolitan-area broadband access...
Bin Lin, Pin-Han Ho, Xuemin Shen, Frank Chih-Wei S...
CORR
2010
Springer
320views Education» more  CORR 2010»
13 years 9 months ago
An algorithm for the principal component analysis of large data sets
Recently popularized randomized methods for principal component analysis (PCA) efficiently and reliably produce nearly optimal accuracy -- even on parallel processors -- unlike the...
Nathan Halko, Per-Gunnar Martinsson, Yoel Shkolnis...
CPHYSICS
2010
135views more  CPHYSICS 2010»
13 years 9 months ago
An events based algorithm for distributing concurrent tasks on multi-core architectures
In this paper, a programming model is presented which enables scalable parallel performance on multi-core shared memory architectures. The model has been developed for application...
David W. Holmes, John R. Williams, Peter Tilke