Here we present a procedure for finding an eight times overcomplete ICA description of image data using the symmetries denned by the rigid motions of a square. The procedure for estimating the basis requires only a small change to any classic ICA procedure and the data representation in this overcomplete description is unique. Coding and decoding in this description are essentially as easy as in classic ICA methods. We also show that this description is genuinely more sparse than a non-overcomplete ICA method. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Inki, M. (2006). An easily computable eight times overcomplete ICA method for image data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3889 LNCS, pp. 950–957). https://doi.org/10.1007/11679363_118
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