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TNN
2008
182views more  TNN 2008»
15 years 3 months ago
Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...
Ivor Wai-Hung Tsang, András Kocsor, James T...
NIPS
2003
15 years 4 months ago
Fast Algorithms for Large-State-Space HMMs with Applications to Web Usage Analysis
In applying Hidden Markov Models to the analysis of massive data streams, it is often necessary to use an artificially reduced set of states; this is due in large part to the fac...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher, Jon...
TMM
2008
121views more  TMM 2008»
15 years 3 months ago
Performance Analysis of Resource Selection Schemes for a Large Scale Video-on-Demand System
The designers of a large scale video-on-demand system face an optimization problem of deciding how to assign movies to multiple disks (servers) such that the request blocking proba...
Jun Guo, Eric Wing Ming Wong, Sammy Chan, Peter Ta...
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CGO
2010
IEEE
15 years 10 months ago
Large program trace analysis and compression with ZDDs
Prior work has shown that reduced, ordered, binary decision diagrams (BDDs) can be a powerful tool for program trace analysis and visualization. Unfortunately, it can take hours o...
Graham D. Price, Manish Vachharajani
FTDCS
2003
IEEE
15 years 8 months ago
Analysis of Parallel Downloading for Large File Distribution
Recently, the scheme of parallel downloading (PD) has been adopted by a number of Internet file downloading applications. With the wide deployment of content distribution network...
Simon G. M. Koo, Catherine Rosenberg, Dongyan Xu