502 search results - page 38 / 101 » Principal Component Analysis for Sparse High-Dimensional Dat... |
ICIP
2000
IEEE
14 years 11 months ago
2000
IEEE
In this paper, we introduce a method for estimating the statistically distinct neural responses in an sequence of functional magnetic resonance images (fMRI). The crux of our meth...
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
This paper addresses the problem of video anomaly recovery from a sequence of spectrally compressed video frames. Analysis of anomalies occurring in both time and spectrum is impo...
ADMA
2008
Springer
13 years 12 months ago
2008
Springer
We investigate the effects of dimensionality reduction using different techniques and different dimensions on six two-class data sets with numerical attributes as pre-processing fo...
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
We investigate the sparse eigenvalue problem which arises in various fields such as machine learning and statistics. Unlike standard approaches relying on approximation of the l0n...
TMI
2008
13 years 9 months ago
2008
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...