Efficient Learning of Sparse Invariant Representations

Details Efficient Learning of Sparse Invariant Representations Efficient Learning of Sparse Invariant Representations

2011-05-26

arxiv.org/abs/1105.5307v1

Computer Science

Computer Vision and Pattern Recognition

9 pages + 6 supplement pages

Scientific paper

We propose a simple and efficient algorithm for learning sparse invariant representations from unlabeled data with fast inference. When trained on short movies sequences, the learned features are selective to a range of orientations and spatial frequencies, but robust to a wide range of positions, similar to complex cells in the primary visual cortex. We give a hierarchical version of the algorithm, and give guarantees of fast convergence under certain conditions.

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