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» Clustering performance data efficiently at massive scales
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HIPC
2009
Springer
14 years 10 months ago
Group file operations for scalable tools and middleware
Group file operations are a new, intuitive idiom for tools and middleware - including parallel debuggers and runtimes, performance measurement and steering, and distributed resourc...
Michael J. Brim, Barton P. Miller
107
Voted
ICPR
2006
IEEE
16 years 1 months ago
Mixture of Support Vector Machines for HMM based Speech Recognition
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
Sven E. Krüger, Martin Schafföner, Marce...
100
Voted
WWW
2006
ACM
16 years 1 months ago
Image annotation using search and mining technologies
In this paper, we present a novel solution to the image annotation problem which annotates images using search and data mining technologies. An accurate keyword is required to ini...
Xin-Jing Wang, Lei Zhang, Feng Jing, Wei-Ying Ma
EDBT
2000
ACM
15 years 4 months ago
Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
Giovanni Giuffrida, Wesley W. Chu, Dominique M. Ha...
86
Voted
SIGCOMM
2010
ACM
15 years 20 days ago
Scalable flow-based networking with DIFANE
Ideally, enterprise administrators could specify fine-grain policies that drive how the underlying switches forward, drop, and measure traffic. However, existing techniques for fl...
Minlan Yu, Jennifer Rexford, Michael J. Freedman, ...