Titlebook: Computer Information Systems and Industrial Management; 16th IFIP TC8 Intern Khalid Saeed,W?adys?aw Homenda,Rituparna Chaki Conference proc

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https://doi.org/10.1007/b138816The proposed approach is evaluated in a?study of handwritten digits recognition. As foreign patterns we use distorted digits. Experiments show that the proposed model classifies native patterns with a high success rate and rejects foreign patterns as well.

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Numerische Methoden in der Mechanik,veral experiments performed on different datasets. There were tested both datasets with discrete and continuous attributes and decision classes. The aspect of using a randomness in the created classifier was also evaluated.

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https://doi.org/10.1007/b138816ion especially for the multi-run tests with small number of iterations. The given tests can be applied for hardware and software testing but it seems they may be particularly interesting from the perspective of the effective detection of pattern sensitive faults in RAMs.

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https://doi.org/10.1007/3-540-34994-4ffiliation to the class is decided with the MSE criterion calculated for the object’s Zernike moments sequence and the reference Zernike moments sequence of the class. The method is tested using grayscale images of handwritten digits and microscopic sections.

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Dietmar Gross,Peter Wriggers,Werner Hauger12-dimensional data using heatmaps and Kohonen’s self-organizing maps..The data set can be reconstructed with a 0.9746 accuracy (fraction of explained variance) from 6 base vectors provided by the NMF and using appropriate encoders provided also by the NMF; while 3 factors yield an 0.8573 fraction of explained variance.

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