arXiv · 1101.5766
Geometric Models with Co-occurrence Groups
Abstract
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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Joan Bruna, Stéphane Mallat. 2011-01-30. Geometric Models with Co-occurrence Groups. https://arxiv.org/abs/1101.5766
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