Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Small Sample Size Effects in Statistical Pattern Recognition: Recommendations for Practitioners
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Computation
Stabilizing Classifiers for Very Small Sample Sizes
ICPR '96 Proceedings of the 13th International Conference on Pattern Recognition - Volume 2
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
An approach to the evaluation of the performance of a discrete classifier
Pattern Recognition Letters
Classification of SPECT Images of Normal Subjects versus Images of Alzheimer's Disease Patients
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Adaptive Feature Spaces for Land Cover Classification with Limited Ground Truth Data
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Combining Fisher Linear Discriminants for Dissimilarity Representations
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
The influence of prior knowledge on the expected performance of a classifier
Pattern Recognition Letters
Results in statistical discriminant analysis: a review of the former Soviet union literature
Journal of Multivariate Analysis
A Two-Stage Linear Discriminant Analysis via QR-Decomposition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Discriminant feature extraction using dual-objective optimization model
Pattern Recognition Letters
Prototype selection for dissimilarity-based classifiers
Pattern Recognition
Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis
The Journal of Machine Learning Research
Gene selection for multiclass prediction by weighted fisher criterion
EURASIP Journal on Bioinformatics and Systems Biology
Two-stage optimal component analysis
Computer Vision and Image Understanding
CAI '07 Proceedings of the 20th conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
Induction of multiclass multifeature split decision trees from distributed data
Pattern Recognition
Classification of SPECT Images Using Clustering Techniques Revisited
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part II: Bioinspired Applications in Artificial and Natural Computation
Two-dimensional maximum margin feature extraction for face recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on cybernetics and cognitive informatics
Generalized discriminant analysis: a matrix exponential approach
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Analysis of the distance between two classes for tuning SVM hyperparameters
IEEE Transactions on Neural Networks
An adaptive nonparametric discriminant analysis method and its application to face recognition
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Canonical correlation analysis using within-class coupling
Pattern Recognition Letters
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Intelligent Decision Technologies
An experimental study of one- and two-level classifier fusion for different sample sizes
Pattern Recognition Letters
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Robustness analysis of eleven linear classifiers in extremely high–dimensional feature spaces
ANNPR'10 Proceedings of the 4th IAPR TC3 conference on Artificial Neural Networks in Pattern Recognition
ICSR'12 Proceedings of the 4th international conference on Social Robotics
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
A comparative study of covariance selection models for the inference of gene regulatory networks
Journal of Biomedical Informatics
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The pseudo-Fisher linear classifier is considered as the ''diagonal'' Fisher linear classifier applied to the principal components corresponding to non-zero eigenvalues of the sample covariance matrix. An asymptotic formula for the expected (generalization) error of the Fisher classifier with the pseudo-inversion is derived which explains the peaking behaviour: with an increasing number of learning observations from one up to the number of features, the generalization error first decreases, and then starts to increase.