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NIPS
2004
13 years 9 months ago
Hierarchical Eigensolver for Transition Matrices in Spectral Methods
We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
Chakra Chennubhotla, Allan D. Jepson
VMV
2001
131views Visualization» more  VMV 2001»
13 years 9 months ago
Shape Model and Threshold Extraction via Shape Gradients
Shape information is utilized by numerous applications in computer vision, scientific visualization and computer graphics. This paper presents a novel algorithm for exploring and ...
Roger C. Tam, Alain Fournier
IOPADS
1996
100views more  IOPADS 1996»
13 years 9 months ago
ENWRICH a Compute-Processor Write Caching Scheme for Parallel File Systems
Many parallel scientific applications need high-performance I/O. Unfortunately, end-to-end parallel-I/O performance has not been able to keep up with substantial improvements in p...
Apratim Purakayastha, Carla Schlatter Ellis, David...
AAAI
2010
13 years 8 months ago
A Two-Dimensional Topic-Aspect Model for Discovering Multi-Faceted Topics
This paper presents the Topic-Aspect Model (TAM), a Bayesian mixture model which jointly discovers topics and aspects. We broadly define an aspect of a document as a characteristi...
Michael Paul, Roxana Girju
CEC
2010
IEEE
13 years 8 months ago
An analysis of massively distributed evolutionary algorithms
Computational science is placing new demands on optimization algorithms as the size of data sets and the computational complexity of scientific models continue to increase. As thes...
Travis J. Desell, David P. Anderson, Malik Magdon-...