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» Computing LTS Regression for Large Data Sets
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HPCA
2005
IEEE
14 years 9 months ago
Scatter-Add in Data Parallel Architectures
Many important applications exhibit large amounts of data parallelism, and modern computer systems are designed to take advantage of it. While much of the computation in the multi...
Jung Ho Ahn, Mattan Erez, William J. Dally
DAC
2002
ACM
14 years 10 months ago
Hole analysis for functional coverage data
One of the main goals of coverage tools is to provide the user with informative presentation of coverage information. Specifically, information on large, cohesive sets of uncovere...
Oded Lachish, Eitan Marcus, Shmuel Ur, Avi Ziv
VLDB
2002
ACM
114views Database» more  VLDB 2002»
13 years 8 months ago
Tree Pattern Aggregation for Scalable XML Data Dissemination
With the rapid growth of XML-document traffic on the Internet, scalable content-based dissemination of XML documents to a large, dynamic group of consumers has become an important...
Chee Yong Chan, Wenfei Fan, Pascal Felber, Minos N...
ICCV
2009
IEEE
15 years 2 months ago
Dimensionality Reduction and Principal Surfaces via Kernel Map Manifolds
We present a manifold learning approach to dimensionality reduction that explicitly models the manifold as a mapping from low to high dimensional space. The manifold is represen...
Samuel Gerber, Tolga Tasdizen, Ross Whitaker
CVPR
2005
IEEE
14 years 11 months ago
A Weighted Nearest Mean Classifier for Sparse Subspaces
In this paper we focus on high dimensional data sets for which the number of dimensions is an order of magnitude higher than the number of objects. From a classifier design standp...
Cor J. Veenman, David M. J. Tax