103 search results - page 5 / 21 » Online Maintenance of Very Large Random Samples |
111
Voted
INFOCOM
2012
IEEE
13 years 2 months ago
2012
IEEE
—Collecting per-flow aggregates in high-speed links is challenging and usually requires traffic sampling to handle peak rates and extreme traffic mixes. Static selection of sa...
73
Voted
ICML
2005
IEEE
16 years 14 days ago
2005
IEEE
We present a new method to estimate the intrinsic dimensionality of a submanifold M in Rd from random samples. The method is based on the convergence rates of a certain U-statisti...
109
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ICML
2009
IEEE
16 years 14 days ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
113
Voted
SIGMOD
1998
ACM
15 years 3 months ago
1998
ACM
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
ICIP
2010
IEEE
14 years 9 months ago
2010
IEEE
The theory of compressed sensing has a natural application in interferometric aperture synthesis. As in many real-world applications, however, the assumption of random sampling, w...