502 search results - page 31 / 101 » Principal Component Analysis for Sparse High-Dimensional Dat... |
CNSR
2011
IEEE
13 years 10 days ago
2011
IEEE
—Network delay is a crucial metric for evaluating the state of the network. We present in this paper a structural analysis of network delay, based on delay measurements of a back...
BMCBI
2008
13 years 9 months ago
2008
Background: Large biological data sets, such as expression profiles, benefit from reduction of random noise. Principal component (PC) analysis has been used for this purpose, but ...
ICPR
2002
IEEE
14 years 10 months ago
2002
IEEE
The use of higher order autocorrelations as features for pattern classification has been usually restricted to second or third orders due to high computational costs. Since the au...
JMLR
2010
13 years 3 months ago
2010
Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...
IJCNN
2007
IEEE
14 years 3 months ago
2007
IEEE
— We show that independent component analysis (ICA) can be used to find distributed representations for words that can be further processed by thresholding to produce sparse rep...