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SKG
2006
IEEE
16 years 15 days ago
Abox Inference for Large Scale OWL-Lite Data
Abox inference is an important part in OWL data management. When involving large scale of instance data, it can not be supported by existing inference engines. In this paper, we p...
Xiaofeng Wang, Jianbo Ou, Xiaofeng Meng, Yan Chen
GD
2004
Springer
15 years 12 months ago
Clustering Cycles into Cycles of Clusters
In this paper we study simple families of clustered graphs that are highly unconnected. We start by studying 3-cluster cycles, which are clustered graphs such that the underlying ...
Pier Francesco Cortese, Giuseppe Di Battista, Maur...
CDC
2009
IEEE
159views Control Systems» more  CDC 2009»
15 years 11 months ago
A distributed machine learning framework
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
Tansu Alpcan, Christian Bauckhage
CIKM
2009
Springer
15 years 11 months ago
Density-based clustering using graphics processors
During the last few years, GPUs have evolved from simple devices for the display signal preparation into powerful coprocessors that do not only support typical computer graphics t...
Christian Böhm, Robert Noll, Claudia Plant, B...
CHES
1999
Springer
91views Cryptology» more  CHES 1999»
15 years 10 months ago
A High-Performance Flexible Architecture for Cryptography
Cryptographic algorithms are more efficiently implemented in custom hardware than in software running on general-purpose processors. However, systems which use hardware implementat...
R. Reed Taylor, Seth Copen Goldstein