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16 December 1999 Adaptive algorithm for generating optimal bases for digital images
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Abstract
We propose an adaptive basis algorithm which transforms the Karhunen-Loeve (KL) procedure (which optimizes the mean- square-error) to a new method which minimizes the maximum error of the projected data. This idea is extended and applied to a noisy KL procedure. It is seen that significant dimensionality reduction may be obtained via this adaptive procedure. Four numerical experiments are presented using a data set consisting of digital images of human faces.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David Dreisigmeyer and Michael J. Kirby "Adaptive algorithm for generating optimal bases for digital images", Proc. SPIE 3814, Mathematics of Data/Image Coding, Compression, and Encryption II, (16 December 1999); https://doi.org/10.1117/12.372742
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