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109
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ICCS
2005
Springer
15 years 6 months ago
Hierarchical Infrastructure for Large-Scale Distributed Privacy-Preserving Data Mining
Abstract. Data Mining is often required to be performed among a number of groups of sites, where the precondition is that no privacy of any site should be leaked out to other sites...
Jinlong Wang, Congfu Xu, Huifeng Shen, Yunhe Pan
101
Voted
ISPA
2004
Springer
15 years 6 months ago
Parallel Volume Rendering with Early Ray Termination for Visualizing Large-Scale Datasets
Abstract. This paper presents an efficient parallel algorithm for volume rendering of large-scale datasets. Our algorithm focuses on an optimization technique, namely early ray te...
Manabu Matsui, Fumihiko Ino, Kenichi Hagihara
88
Voted
EUROPAR
2003
Springer
15 years 5 months ago
Exploiting On-Chip Data Transfers for Improving Performance of Chip-Scale Multiprocessors
As compared to a complex single processor based system, on-chip multiprocessors are less complex, more power efficient, and easier to test and validate. In this work, we focus on a...
Guangyu Chen, Mahmut T. Kandemir, Alok N. Choudhar...
NIPS
2001
15 years 2 months ago
A Parallel Mixture of SVMs for Very Large Scale Problems
Support Vector Machines (SVMs) are currently the state-of-the-art models for many classication problems but they suer from the complexity of their training algorithm which is at l...
Ronan Collobert, Samy Bengio, Yoshua Bengio
86
Voted
IJRR
2006
116views more  IJRR 2006»
15 years 17 days ago
The Graph SLAM Algorithm with Applications to Large-Scale Mapping of Urban Structures
This article presents GraphSLAM, a unifying algorithm for the offline SLAM problem. GraphSLAM is closely related to a recent sequence of research papers on applying optimization t...
Sebastian Thrun, Michael Montemerlo