13 search results - page 1 / 3 » Outlier Detection with One-class Kernel Fisher Discriminants |
NIPS
2004
13 years 6 months ago
2004
The problem of detecting "atypical objects" or "outliers" is one of the classical topics in (robust) statistics. Recently, it has been proposed to address this...
SSWMC
2004
13 years 6 months ago
2004
The use of kernel Fisher discriminants is used to detect the presence of JPEG based hiding methods. The feature vector for the kernel discriminant is constructed from the quantize...
ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
In this work, we propose a multi-class classification strategy based on Fisher kernels. Fisher kernels combine the powers of discriminative and generative classifiers by mapping v...
ICCV
2005
IEEE
14 years 6 months ago
2005
IEEE
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
IPMI
1999
Springer
14 years 5 months ago
1999
Springer
The goal of this work is to develop an approach to shape representation and classification that will allow us to detect and quantify differences in shape of anatomical structures d...