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» Computing LTS Regression for Large Data Sets
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HOTI
2005
IEEE
14 years 2 months ago
Challenges in Building a Flat-Bandwidth Memory Hierarchy for a Large-Scale Computer with Proximity Communication
Memory systems for conventional large-scale computers provide only limited bytes/s of data bandwidth when compared to their flop/s of instruction execution rate. The resulting bo...
Robert J. Drost, Craig Forrest, Bruce Guenin, Ron ...
CVPR
2009
IEEE
15 years 4 months ago
A Streaming Framework for Seamless Building Reconstruction from Large-Scale Aerial LiDAR Data
We present a streaming framework for seamless building reconstruction from huge aerial LiDAR point sets. By storing data as stream files on hard disk and using main memory as only ...
Qian-Yi Zhou (University of Southern California), ...
ISCIS
2003
Springer
14 years 2 months ago
Comparison of Feature Sets Using Multimedia Translation
Feature selection is very important for many computer vision applications. However, it is hard to find a good measure for the comparison. In this study, feature sets are compared ...
Pinar Duygulu, Özge Can Özcanli, Norman ...
HPDC
2002
IEEE
14 years 2 months ago
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
In high energy physics, bioinformatics, and other disciplines, we encounter applications involving numerous, loosely coupled jobs that both access and generate large data sets. So...
Kavitha Ranganathan, Ian T. Foster
ACL
2012
11 years 11 months ago
Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT
With a few exceptions, discriminative training in statistical machine translation (SMT) has been content with tuning weights for large feature sets on small development data. Evid...
Patrick Simianer, Stefan Riezler, Chris Dyer