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» Computing LTS Regression for Large Data Sets
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DATE
2007
IEEE
89views Hardware» more  DATE 2007»
15 years 8 months ago
Mapping multi-dimensional signals into hierarchical memory organizations
The storage requirements of the array-dominated and looporganized algorithmic specifications running on embedded systems can be significant. Employing a data memory space much l...
Hongwei Zhu, Ilie I. Luican, Florin Balasa
EDBT
2009
ACM
131views Database» more  EDBT 2009»
15 years 4 months ago
Sample synopses for approximate answering of group-by queries
With the amount of data in current data warehouse databases growing steadily, random sampling is continuously gaining in importance. In particular, interactive analyses of large d...
Philipp Rösch, Wolfgang Lehner
CVPR
2007
IEEE
16 years 3 months ago
Searching Video for Complex Activities with Finite State Models
We describe a method of representing human activities that allows a collection of motions to be queried without examples, using a simple and effective query language. Our approach...
Nazli Ikizler, David A. Forsyth
RECOMB
2008
Springer
16 years 1 months ago
Accounting for Non-genetic Factors Improves the Power of eQTL Studies
Abstract. The recent availability of large scale data sets profiling single nucleotide polymorphisms (SNPs) and gene expression across different human populations, has directed muc...
Oliver Stegle, Anitha Kannan, Richard Durbin, John...
ASAP
2009
IEEE
143views Hardware» more  ASAP 2009»
15 years 10 months ago
Scalar Processing Overhead on SIMD-Only Architectures
—The Cell processor consists of a general-purpose core and eight cores with a complete SIMD instruction set. Although originally designed for multimedia and gaming, it is current...
Arnaldo Azevedo Filho, Ben H. H. Juurlink