326 search results - page 39 / 66 » Principal Component Analysis for Distributed Data Sets with ... |
MIDDLEWARE
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. Data aggregation is a key aspect of many distributed applications, such as distributed sensing, performance monitoring, and distributed diagnostics. In such settings, use...
AAAI
2008
13 years 10 months ago
2008
Recent study has shown that canonical algorithms such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) can be obtained from graph based dimensionality ...
ICIAR
2005
Springer
14 years 1 months ago
2005
Springer
A method for color indexing is proposed that is based upon nonparametric statistical techniques. Nonparametrics compare the ordinal rankings of sample populations, and maintain the...
ICCAD
2009
IEEE
13 years 5 months ago
2009
IEEE
In this paper, an adaptive sampling method is proposed for the statistical SRAM cell analysis. The method is composed of two components. One part is the adaptive sampler that manip...
IPPS
2006
IEEE
14 years 2 months ago
2006
IEEE
HiPerSAT, a C++ library and tools, processes EEG data sets with ICA (Independent Component Analysis) methods. HiPerSAT uses BLAS, LAPACK, MPI and OpenMP to achieve a high performa...