Autoassociator-based models for speaker verification
Pattern Recognition Letters
INFORMys: A Flexible Invoice-Like Form-Reader System
IEEE Transactions on Pattern Analysis and Machine Intelligence
Intelligent data analysis
Artificial Neural Networks for Document Analysis and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Computation
Supporting diagnosis of attention-deficit hyperactive disorder with novelty detection
Artificial Intelligence in Medicine
Speaker diarization using autoassociative neural networks
Engineering Applications of Artificial Intelligence
ISCSLP SR evaluation, UVA–CS_es system description. a system based on ANNs
ISCSLP'06 Proceedings of the 5th international conference on Chinese Spoken Language Processing
An eye detection system based on neural autoassociators
ANNPR'06 Proceedings of the Second international conference on Artificial Neural Networks in Pattern Recognition
Spoken keyword detection using autoassociative neural networks
International Journal of Speech Technology
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Gradient descent learning algorithms may get stuck in local minima, thus making the learning suboptimal. In this paper, we focus attention on multilayered networks used as autoassociators and show some relationships with classical linear autoassociators. In addition, by using the theoretical framework of our previous research, we derive a condition which is met at the end of the learning process and show that this condition has a very intriguing geometrical meaning in the pattern space