91 search results - page 10 / 19 » The Data Stream Space Complexity of Cascaded Norms |
93
Voted
DASFAA
2005
IEEE
15 years 5 months ago
2005
IEEE
Finding bursts in data streams is attracting much attention in research community due to its broad applications. Existing burst detection methods suffer the problems that 1) the p...
104
Voted
ESA
2005
Springer
15 years 5 months ago
2005
Springer
Histograms are used in many ways in conventional databases and in data stream processing for summarizing massive data distributions. Previous work on constructing histograms on da...
100
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GIS
2009
ACM
15 years 3 months ago
2009
ACM
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
93
Voted
COLT
2010
Springer
14 years 9 months ago
2010
Springer
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
100
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ECCC
2010
14 years 10 months ago
2010
Applications based on outsourcing computation require guarantees to the data owner that the desired computation has been performed correctly by the service provider. Methods based...