Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Machine Learning
Classification by pairwise coupling
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Efficient classification for multiclass problems using modular neural networks
IEEE Transactions on Neural Networks
A comparative study of decision tree approaches to multi-class Support Vector Machines
AIA '08 Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications
Evolving a test oracle in black-box testing
FASE'11/ETAPS'11 Proceedings of the 14th international conference on Fundamental approaches to software engineering: part of the joint European conferences on theory and practice of software
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A binary hierarchical classifier is proposed to solve the multi-class classification problem. We also require rejection of non-target inputs, which thus producing a very difficult problem. The SVRDM (support vector representation and discrimination machine) classifier is considered at each node in the hierarchy, since it offers good generalization and rejection ability. Using this hierarchical SVRDM classifier with magnitude Fourier transform features, initial recognition and rejection test results on simulated infra-red data are excellent.