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Gray-Scale ALIAS
April 1992 (vol. 4 no. 2)
pp. 109-122

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.

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Index Terms:
collective learning systems; adaptive image-processing engine; training set; binary images; gray-scale version; computerised picture processing; learning systems
Citation:
P. Bock, R. Klinnert, R. Kober, R.M. Rovner, H. Schmidt, "Gray-Scale ALIAS," IEEE Transactions on Knowledge and Data Engineering, vol. 4, no. 2, pp. 109-122, April 1992, doi:10.1109/69.134248
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