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» Approximate Join Processing Over Data Streams
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ICML
2009
IEEE
14 years 9 months ago
Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
Ryan Prescott Adams, Iain Murray, David J. C. MacK...
DASFAA
2007
IEEE
205views Database» more  DASFAA 2007»
14 years 21 days ago
Efficient Support for Ordered XPath Processing in Tree-Unaware Commercial Relational Databases
Abstract. In this paper, we present a novel ordered XPATH evaluation in treeunaware RDBMS. The novelties of our approach lies in the followings. (a) We propose a novel XML storage ...
Boon-Siew Seah, Klarinda G. Widjanarko, Sourav S. ...
PODS
2008
ACM
109views Database» more  PODS 2008»
14 years 9 months ago
Time-decaying aggregates in out-of-order streams
Processing large data streams is now a major topic in data management. The data involved can be truly massive, and the required analyses complex. In a stream of sequential events ...
Graham Cormode, Flip Korn, Srikanta Tirthapura
ICIP
2005
IEEE
14 years 2 months ago
Multispectral loss-less compression using approximation methods
— The large size of multispectral data files is currently a major issue in multispectral imaging. The transmission of multispectral data over networks, as well as the storage of ...
Paolo Pellegri, Gianluca Novati, Raimondo Schettin...
EGH
2009
Springer
13 years 6 months ago
Efficient stream compaction on wide SIMD many-core architectures
Stream compaction is a common parallel primitive used to remove unwanted elements in sparse data. This allows highly parallel algorithms to maintain performance over several proce...
Markus Billeter, Ola Olsson, Ulf Assarsson