Separable dictionary learning for convolutional sparse coding via split updates
The increasing ubiquity of Convolutional Sparse Representation techniques for several image processing tasks (such as object recognition and classification, as well as image denoising) has recently sparked interest in the use of separable 2D dictionary filter banks (as alternatives to standard non...
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| Format: | Dissertation |
| Language: | English |
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Pontificia Universidad Católica del Perú
2019
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| Online Access: | http://hdl.handle.net/20.500.12404/14209 |