Principles of multivariate analysis: a user's perspective
Principles of multivariate analysis: a user's perspective
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Self-Organizing Maps
A Framework for Robust Subspace Learning
International Journal of Computer Vision - Special Issue on Computational Vision at Brown University
A Survey of Outlier Detection Methodologies
Artificial Intelligence Review
On the impact of outliers on high-dimensional data analysis methods for face recognition
Proceedings of the 2nd international workshop on Computer vision meets databases
Exploratory Data Analysis with MATLAB (Computer Science and Data Analysis)
Exploratory Data Analysis with MATLAB (Computer Science and Data Analysis)
Journal of Cognitive Neuroscience
Robust face recognition using wavelet transform and autoassociative neural network
International Journal of Biometrics
Outliers in Biometrical Data - Two Real Examples of Analysis
ICBAKE '09 Proceedings of the 2009 International Conference on Biometrics and Kansei Engineering
Outliers in biometrical data: What's old, What's new
International Journal of Biometrics
Self-adaptive local Fisher discriminant analysis for semi-supervised image recognition
International Journal of Biometrics
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We look for outliers in graphical data containing n = 6977 faces or non-faces images from Seung's collection. Our concern is: what kind of outliers may be found in such graphical data. To obtain the global geometrical characteristics, the Pseudo Grand Tour and Kohonens's self-organising maps are applied. We define as outliers those images which reproduce themselves badly from K principal components, with K denoting intrinsic dimension. The concept of mild and severe outliers, and own and alien principal components is also introduced.