Machine Learning
A Parzen classifier with an improved robustness against deviations between training and test data
Pattern Recognition Letters
Subspace classifier in the Hilbert space
Pattern Recognition Letters
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Incremental backpropagation learning networks
IEEE Transactions on Neural Networks
An adaptively trained neural network
IEEE Transactions on Neural Networks
Adaptive Training of a Kernel-Based Representative and Discriminative Nonlinear Classifier
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
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Previously, we proposed a novel classifier named kernel-based nonlinear discriminator (KND) to discriminate a pattern class from other classes. Since the solution is in a closed batch training form, it is inefficient to retrain a trained KND when novel data become available, or to obtain sparse representation for computationally intensive problems. This paper intends to solve the two problems by adopting an incremental learning procedure and a related feature reduction technique. Feasibility of the addressed methods is illustrated by experimental results on handwritten digit recognition.