325 search results - page 16 / 65 » Statistical Properties of Kernel Principal Component Analysi... |
INFOCOM
2007
IEEE
14 years 1 months ago
2007
IEEE
— High-speed backbones are regularly affected by various kinds of network anomalies, ranging from malicious attacks to harmless large data transfers. Different types of anomalies...
MICCAI
2008
Springer
14 years 8 months ago
2008
Springer
In this paper, we propose a novel explicit 2D+t cyclic shape model that extends the Point Distribution Model (PDM) to shapes like myocardial contours with cyclic dynamics. We also ...
DAC
2004
ACM
14 years 8 months ago
2004
ACM
Starting from a model of the within-die systematic variations using principal components analysis, a model is proposed for estimation of the parametric yield, and is then applied ...
JMLR
2006
13 years 7 months ago
2006
The eigenvalues of the kernel matrix play an important role in a number of kernel methods, in particular, in kernel principal component analysis. It is well known that the eigenva...
NIPS
2003
13 years 9 months ago
2003
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...