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» Outlier Detection with One-class Kernel Fisher Discriminants
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NIPS
2004
9 years 12 months ago
Outlier Detection with One-class Kernel Fisher Discriminants
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...
Volker Roth
SSWMC
2004
9 years 12 months ago
Kernel Fisher discriminant for steganalysis of JPEG hiding methods
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...
Jeremiah J. Harmsen, William A. Pearlman
ICPR
2008
IEEE
10 years 11 months ago
Multi-class classification strategies for Fisher scores of gesture and sign sequences
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...
Lale Akarun, Oya Aran
ICCV
2005
IEEE
11 years 12 days ago
Combining Generative Models and Fisher Kernels for Object Recognition
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
Alex Holub, Max Welling, Pietro Perona
IPMI
1999
Springer
10 years 11 months ago
Statistical Shape Analysis Using Fixed Topology Skeletons: Corpus Callosum Study
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...
Polina Golland, W. Eric L. Grimson, Ron Kikinis
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