Convergence analysis of online linear discriminant analysis
- 1 January 2000
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 3, 387-391 vol.3
- https://doi.org/10.1109/ijcnn.2000.861335
Abstract
Convergence of a matrix dynamics for online LDA is analyzed. Especially, stable spurious solutions are pointed out and two schemes to prevent the spurious solutions are proposed. The performance of the algorithm is confirmed by simulations of face identification.Keywords
This publication has 5 references indexed in Scilit:
- Gesture recognition using HLAC features of PARCOR images and HMM based recognizerPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- On self-organizing algorithms and networks for class-separability featuresIEEE Transactions on Neural Networks, 1997
- Artificial neural networks for feature extraction and multivariate data projectionIEEE Transactions on Neural Networks, 1995
- Optimal unsupervised learning in a single-layer linear feedforward neural networkNeural Networks, 1989
- Simplified neuron model as a principal component analyzerJournal of Mathematical Biology, 1982