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» Optimizing for parallelism and data locality
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PPOPP
1995
ACM
15 years 1 months ago
A Model and Compilation Strategy for Out-of-Core Data Parallel Programs
It is widely acknowledged in high-performance computing circles that parallel input/output needs substantial improvement in order to make scalable computers truly usable. We prese...
Rajesh Bordawekar, Alok N. Choudhary, Ken Kennedy,...
CDC
2009
IEEE
138views Control Systems» more  CDC 2009»
14 years 8 months ago
Beyond local optimality: An improved approach to hybrid model learning
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
Stephanie Gil, Brian Williams
DAGM
2003
Springer
15 years 3 months ago
Locally Optimized RANSAC
A new enhancement of RANSAC, the locally optimized RANSAC (LO-RANSAC), is introduced. It has been observed that, to find an optimal solution (with a given probability), the numbe...
Ondrej Chum, Jiri Matas, Josef Kittler
IPPS
2000
IEEE
15 years 2 months ago
Scalable Parallel Clustering for Data Mining on Multicomputers
This paper describes the design and implementation on MIMD parallel machines of P-AutoClass, a parallel version of the AutoClass system based upon the Bayesian method for determini...
D. Foti, D. Lipari, Clara Pizzuti, Domenico Talia
CVPR
2009
IEEE
16 years 5 months ago
Projective Least-Squares: Global Solutions with Local Optimization
Recent work in multiple view geometry has focused on obtaining globally optimal solutions at the price of computational time efciency. On the other hand, traditional bundle adj...
Carl Olsson, Fredrik Kahl, Richard I. Hartley