Geometric Models with Co-occurrence Groups

Details Geometric Models with Co-occurrence Groups Geometric Models with Co-occurrence Groups

2011-01-30

arxiv.org/abs/1101.5766v1

Computer Science

Computer Vision and Pattern Recognition

6 pages, ESANN 2010

Scientific paper

A geometric model of sparse signal representations is introduced for classes
of signals. It is computed by optimizing co-occurrence groups with a maximum
likelihood estimate calculated with a Bernoulli mixture model. Applications to
face image compression and MNIST digit classification illustrate the
applicability of this model.

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