A perspective on artificial intelligence: learning to learn
Annals of Operations Research
CSC '90 Proceedings of the 1990 ACM annual conference on Cooperation
A CLS hierarchy for the classification of images
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
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Based on the paradigm of collective learning systems, ALIAS (adaptive learning image analysis system) is an adaptive image-processing engine specifically designed to detect anomalies in otherwise normal images and signals. To accomplish this, ALIAS requires only one pass through a training set, which typically consists of less than 100 samples. The original version of ALIAS (1.0) was completed in Apr. 1990 at the Research Institute for Applied Knowledge Processing (FAW) in Ulm, Germany.