13 search results - page 2 / 3 » Outlier Detection with One-class Kernel Fisher Discriminants |
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
This paper describes a complete approach to detect, localize and describe network patterns. Such texture is automatically detected with Gaussian derivative kernels and Fisher line...
ESANN
2007
13 years 6 months ago
2007
In many applications, one is interested to detect certain patterns in random process signals. We consider a class of random process signals which contain sub similarities at rando...
NIPS
2008
13 years 6 months ago
2008
We introduce a kernel-based method for change-point analysis within a sequence of temporal observations. Change-point analysis of an unlabelled sample of observations consists in,...
IJDMB
2008
13 years 4 months ago
2008
: Computational classification of proteins using methods such as string kernels and Fisher-SVM has demonstrated great success. However, the resulting models do not offer an immedia...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
We introduce a regularized kernel-based rule for unsupervised change detection based on a simpler version of the recently proposed kernel Fisher discriminant ratio. Compared to ot...