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Improved ?-APEX Algorithm for Digital Image Compression
Como, Italy July 24-July 27
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.861336IEEE-INNS-ENNS International Joint Co ...
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Simone Fiori, University of Perugia
Saverio Costa, University of Perugia
Pietro Burrascano, University of Perugia
In this work, we derive an improvement of -APEX principal component analysis neural algorithms [8], based on a laterally connected neural architecture, which arises from an optimization theory specialized for this topology. Such a class contains, as a special case, an APEX-like algorithm, but it also contains a subclass of algorithms that show interesting convergence features when compared with the original one.
Citation:
Simone Fiori, Saverio Costa, Pietro Burrascano, "Improved ?-APEX Algorithm for Digital Image Compression," ijcnn, vol. 3, pp.3392, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3, 2000
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