Calculation of Bayes' Recognition Error for Two Multivariate Gaussian Distributions
IEEE Transactions on Computers
Rejection Technique Based on the Mumble Model
TSD '02 Proceedings of the 5th International Conference on Text, Speech and Dialogue
Weak Orthogonalization of Face and Perturbation for Recognition
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Relative Karhunen-Loeve Transform Method for Pattern Recognition
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Visualization of the Structure of Classes Using a Graph
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Rotation Forest: A New Classifier Ensemble Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Optimal Set of Discriminant Vectors
IEEE Transactions on Computers
A Declustering Criterion for Feature Extraction in Pattern Recognition
IEEE Transactions on Computers
A Classifier Design Technique for Discrete Variable Pattern Recognition Problems
IEEE Transactions on Computers
Feature Evalution with Measures of Probabilistic Dependence
IEEE Transactions on Computers
A Readily Computable Decision Rule with Variable Dimensionality
IEEE Transactions on Computers
On the Discriminant Vector Method of Feature Selection
IEEE Transactions on Computers
IEEE Transactions on Computers
A Criterion and an Algorithm for Grouping Data
IEEE Transactions on Computers
An Optimal Orthogonal Expansion for Classification of Patterns
IEEE Transactions on Computers
Finding alternatives and reduced formulations for process-based models
Evolutionary Computation
New Routes from Minimal Approximation Error to Principal Components
Neural Processing Letters
Affine Feature Extraction: A Generalization of the Fukunaga-Koontz Transformation
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Two-dimensional subspace classifiers for face recognition
Neurocomputing
An efficient discriminant-based solution for small sample size problem
Pattern Recognition
Affine feature extraction: A generalization of the Fukunaga-Koontz transformation
Engineering Applications of Artificial Intelligence
Classification of Similar 3D Objects with Different Types of Features from Multi-view Images
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Different metaheuristic strategies to solve the feature selection problem
Pattern Recognition Letters
A nonparametric valley-seeking technique for cluster analysis
IJCAI'71 Proceedings of the 2nd international joint conference on Artificial intelligence
On the classification of patterns by the Karhunen-Loeve orthogonal system without supervis
IJCAI'71 Proceedings of the 2nd international joint conference on Artificial intelligence
A Segmentation Technique for Waveform Classification
IEEE Transactions on Computers
The role of eigenvalues in linear feature selection theory
Journal of Computational and Applied Mathematics
Robust semantic concept detection in large video collections
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
An experimental study on rotation forest ensembles
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Feature extraction using constrained approximation and suppression
IEEE Transactions on Neural Networks
The kernel orthogonal mutual subspace method and its application to 3D object recognition
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
SILT: scale-invariant line transform
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
PCA-SIFT: a more distinctive representation for local image descriptors
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume part II
A new discriminant subspace analysis approach for multi-class problems
Pattern Recognition
Improved kernel common vector method for face recognition varying in background conditions
CompIMAGE'10 Proceedings of the Second international conference on Computational Modeling of Objects Represented in Images
Structural and Multidisciplinary Optimization
Exploiting fisher and fukunaga-koontz transforms in chernoff dimensionality reduction
ACM Transactions on Knowledge Discovery from Data (TKDD)
Evaluation of hyperspectral image classification using random forest and fukunaga-koontz transform
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
| Hi-index | 15.01 |
The Karhunen-Lo6ve expansion has been used previously to extract important features for representing samples taken from a given distribution. A method is developed herein to use the Karhunen-Loeve expansion to extract features relevant to classification of a sample taken from one of two pattern classes. Numerical examples are presented to illustrate the technique.