Improving Supervised Learning by Feature Decomposition
FoIKS '02 Proceedings of the Second International Symposium on Foundations of Information and Knowledge Systems
A modular eigen subspace scheme for high-dimensional data classification
Future Generation Computer Systems - Special issue: Geocomputation
A new pixel-oriented visualization technique through color image
Information Visualization
On solving the face recognition problem with one training sample per subject
Pattern Recognition
Feature set decomposition for decision trees
Intelligent Data Analysis
Genetic algorithm-based feature set partitioning for classification problems
Pattern Recognition
Genetic algorithm-based feature set partitioning for classification problems
Pattern Recognition
A projection pursuit algorithm for anomaly detection in hyperspectral imagery
Pattern Recognition
Comparison of Unsupervised Band Selection Methods for Hyperspectral Imaging
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
Covariance estimation in full- and reduced-dimensionality image classification
Image and Vision Computing
Textural Features for Hyperspectral Pixel Classification
IbPRIA '09 Proceedings of the 4th Iberian Conference on Pattern Recognition and Image Analysis
Classification of toxigenic and atoxigenic strains of Aspergillus flavus with hyperspectral imaging
Computers and Electronics in Agriculture
Robust locally linear embedding and application in high dimensional data
ICNC'09 Proceedings of the 5th international conference on Natural computation
An incremental learning algorithm for optimizing high-dimensional ANN-based classification systems
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Robust Positive semidefinite L-Isomap Ensemble
Pattern Recognition Letters
A novel fault diagnosis system using pattern classification on kernel FDA subspace
Expert Systems with Applications: An International Journal
Front end analysis of speech recognition: a review
International Journal of Speech Technology
Automatic band selection in multispectral images using mutual information-based clustering
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Fractal projection pursuit classification model applied to geochemical survey data
Computers & Geosciences
Parsimonious Mahalanobis kernel for the classification of high dimensional data
Pattern Recognition
A Simulation-Based Approach to Decision Making with Partial Information
Decision Analysis
Double linear regressions for single labeled image per person face recognition
Pattern Recognition
Hybrid random subsample classifier ensemble for high dimensional data sets
International Journal of Hybrid Intelligent Systems
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The recent development of more sophisticated remote-sensing systems enables the measurement of radiation in many more spectral intervals than was previously possible. An example of this technology is the AVIRIS system, which collects image data in 220 bands. The increased dimensionality of such hyperspectral data greatly enhances the data's information content, but provides a challenge to the current techniques for analyzing such data. Human experience in 3D space tends to mislead our intuition of geometrical and statistical properties in high-dimensional space, properties which must guide our choices in the data analysis process. Using Euclidean and Cartesian geometry, high-dimensional space properties are investigated in this paper, and their implication for high-dimensional data and its analysis is studied in order to illuminate the differences between conventional spaces and hyperdimensional space