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» Set cover algorithms for very large datasets
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SSD
2005
Springer
108views Database» more  SSD 2005»
15 years 11 months ago
On Trip Planning Queries in Spatial Databases
In this paper we discuss a new type of query in Spatial Databases, called the Trip Planning Query (TPQ). Given a set of points of interest P in space, where each point belongs to ...
Feifei Li, Dihan Cheng, Marios Hadjieleftheriou, G...
HPDC
2010
IEEE
15 years 7 months ago
Data parallelism in bioinformatics workflows using Hydra
Large scale bioinformatics experiments are usually composed by a set of data flows generated by a chain of activities (programs or services) that may be modeled as scientific work...
Fábio Coutinho, Eduardo S. Ogasawara, Danie...
164
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IOPADS
1996
87views more  IOPADS 1996»
15 years 7 months ago
Structured Permuting in Place on Parallel Disk Systems
The ability to perform permutations of large data sets in place reduces the amount of necessary available disk storage. The simplest way to perform a permutation often is to read ...
Leonard F. Wisniewski
ICASSP
2008
IEEE
16 years 18 days ago
Adaptable K-nearest neighbor for image interpolation
A variant of the k-nearest neighbor algorithm is proposed for image interpolation. Instead of using a static volume or static k, the proposed algorithm determines a dynamic k that...
Kenta S. Ni, Truong Q. Nguyen
167
Voted
ACL
2009
15 years 4 months ago
Reducing Semantic Drift with Bagging and Distributional Similarity
Iterative bootstrapping algorithms are typically compared using a single set of handpicked seeds. However, we demonstrate that performance varies greatly depending on these seeds,...
Tara McIntosh, James R. Curran