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» Optimized union of non-disjoint distributed data sets
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GRID
2003
Springer
15 years 2 months ago
Applying Database Support for Large Scale Data Driven Science in Distributed Environments
There is a rapidly growing set of applications, referred to as data driven applications, in which analysis of large amounts of data drives the next steps taken by the scientist, e...
Sivaramakrishnan Narayanan, Ümit V. Ça...
VLDB
2007
ACM
130views Database» more  VLDB 2007»
15 years 10 months ago
A Simple and Efficient Estimation Method for Stream Expression Cardinalities
Estimating the cardinality (i.e. number of distinct elements) of an arbitrary set expression defined over multiple distributed streams is one of the most fundamental queries of in...
Aiyou Chen, Jin Cao, Tian Bu
87
Voted
CVPR
1999
IEEE
15 years 11 months ago
Deformable Template and Distribution Mixture-Based Data Modeling for the Endocardial Contour Tracking in an Echographic Sequence
We1 present a new method to shape-based segmentation of deformable anatomical structures in medical images and validate this approach by detecting and tracking the endocardial bor...
Max Mignotte, Jean Meunier
110
Voted
FOCI
2007
IEEE
15 years 1 months ago
An Investigation on the Compression Quality of aiNet
AiNet is an immune-inspired algorithm for data compression, i.e. the reduction of redundancy in data sets. In this paper we investigate the compression quality of aiNet. Therefore,...
Thomas Stibor, Jonathan Timmis
CLOUD
2010
ACM
15 years 2 months ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...