Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Estimation of Classifier Performance
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Behavior of Artificial Neural Network Classifiers in High-Dimensional Spaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
Data Mining and Knowledge Discovery
The Optimum Classifier and the Performance Evaluation by Bayesian Approach
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
A General Model for Finite-Sample Effects in Training and Testing of Competing Classifiers
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multimodal oriented discriminant analysis
ICML '05 Proceedings of the 22nd international conference on Machine learning
Urban monitoring using multi-temporal SAR and multi-spectral data
Pattern Recognition Letters - Special issue: Pattern recognition in remote sensing (PRRS 2004)
Fundamenta Informaticae
Subspace techniques for large-scale feature selection
ICASSP '93 Proceedings of the Acoustics, Speech, and Signal Processing, 1993. ICASSP-93 Vol 4., 1993 IEEE International Conference on - Volume 04
The Effect of Training Sample Size on Performance of Mass Detection
IWDM '08 Proceedings of the 9th international workshop on Digital Mammography
Multiscale edge detection and classification for automatic diagnosis of mammographic lesions
ISCGAV'08 Proceedings of the 8th conference on Signal processing, computational geometry and artificial vision
Multi-Classifier Systems (MCSs) of Remote Sensing Imagery Classification Based on Texture Analysis
ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
An experimental decision of samples for RBF neural networks
MUSP'09 Proceedings of the 9th WSEAS international conference on Multimedia systems & signal processing
Region, Lesion and Border-Based Multiresolution Analysis of Mammogram Lesions
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
A pilot sampling method for multi-layer perceptrons
ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers
Performance comparison of RBF networks and MLPs for classification
AIC'09 Proceedings of the 9th WSEAS international conference on Applied informatics and communications
The relationship of sample size and accuracy in radial basis function networks
WSEAS Transactions on Computers
Sampling scheme for better RBF network
Proceedings of the 2009 International Conference on Hybrid Information Technology
On the window size for classification in changing environments
Intelligent Data Analysis
Empirical determination of sample sizes for multi-layer perceptrons by simple RBF networks
WSEAS Transactions on Computers
An effective sampling scheme for better multi-layer perceptrons
AIKED'10 Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Investigating better multi-layer perceptrons for the task of classification
WSEAS Transactions on Computers
Property of artificial neural networks of classification with respect to training set size
ICS'10 Proceedings of the 14th WSEAS international conference on Systems: part of the 14th WSEAS CSCC multiconference - Volume II
Using quick decision tree algorithm to find better RBF networks
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part I
A study on the influence of shape in classifying small spectral data sets
SIMBAD'11 Proceedings of the First international conference on Similarity-based pattern recognition
Structured Output SVM for Remote Sensing Image Classification
Journal of Signal Processing Systems
Model selection and assessment for classification using validation
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
A neural adaptive algorithm for feature selection and classification of high dimensionality data
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
A task-specific argument for variable-exposure breast tomosynthesis
IWDM'12 Proceedings of the 11th international conference on Breast Imaging
Feature selection of frequency spectrum for modeling difficulty to measure process parameters
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
Fundamenta Informaticae
Expert Systems with Applications: An International Journal
Integrated Fisher linear discriminants: An empirical study
Pattern Recognition
Computational Statistics & Data Analysis
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The effect of finite sample-size on parameter estimates and their subsequent use in a family of functions are discussed. General and parameter-specific expressions for the expected bias and variance of the functions are derived. These expressions are then applied to the Bhattacharyya distance and the analysis of the linear and quadratic classifiers, providing insight into the relationship between the number of features and the number of training samples. Because of the functional form of the expressions, an empirical approach is presented to enable asymptotic performance to be accurately estimated using a very small number of samples. Results were experimentally verified using artificial data in controlled cases and using real, high-dimensional data.