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Support Vector Machine Learning: Application to Compression of Digital Images
Support Vector Machine Learning Application to Compression of Digital Images
Author: Jonathan Robinson
Methods exploring the application of support vector machine learning (SVM) to still image compression are detailed in both the spatial and frequency domains. In particular the sparse properties of SVM learning are exploited in the compression algorithms. A classic radial basis function neural network requires that the topology of the netwo...  more »
ISBN-13: 9783639100006
ISBN-10: 363910000X
Publication Date: 11/27/2008
Pages: 176
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Publisher: VDM Verlag Dr. Müller
Book Type: Paperback
Members Wishing: 0
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