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ICIP
2006
IEEE
15 years 11 months ago
Two-Stage Optimal Component Analysis
Linear techniques are widely used to reduce the dimension of image representation spaces in applications such as image indexing and object recognition. Optimal Component Analysis ...
Yiming Wu, Xiuwen Liu, Washington Mio, Kyle A. Gal...
BCB
2010
175views Bioinformatics» more  BCB 2010»
14 years 4 months ago
Gene set analysis using principal components
We present a new method for identifying gene sets associated with labeled samples, where the labels can be case versus control, or genotype differences. Existing approaches to thi...
Isa Kemal Pakatci, Wei Wang, Leonard McMillan
EMSOFT
2009
Springer
15 years 4 months ago
Analytic real-time analysis and timed automata: a hybrid method for analyzing embedded real-time systems
This paper advocates a strict compositional and hybrid approach for obtaining key (performance) metrics of embedded At its core the developed methodology abstracts system componen...
Kai Lampka, Simon Perathoner, Lothar Thiele
WIOPT
2005
IEEE
15 years 3 months ago
Interference Power Sum with Log-Normal Components in Ad-Hoc and Sensor Networks
The log-normal shadowing radio model has frequently been used to model radio propagation conditions. There exist accurate calculation methods for estimation of interference power ...
Ramin Hekmat, Piet Van Mieghem
NIPS
2007
14 years 11 months ago
Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression
We propose a method for reconstruction of human brain states directly from functional neuroimaging data. The method extends the traditional multivariate regression analysis of dis...
Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....