LSALSA: accelerated source separation via learned sparse coding

DOI10.1007/s10994-019-05812-3zbMath1493.68329arXiv1802.06875OpenAlexW2995918813MaRDI QIDQ2320559

Benjamin Cowen, Anna Choromanska, Apoorva Nandini Saridena

Publication date: 23 August 2019

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1802.06875

zbMATH Keywords

sparse codingdeep learningmorphological component analysis

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Applications of mathematical programming (90C90) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Uses Software

• CIFAR
• Fashion-MNIST

Cites Work

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• 10.1162/153244303768966139
• Learning the Morphological Diversity
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• Fast Alternating Direction Optimization Methods
• Fast Image Recovery Using Variable Splitting and Constrained Optimization
• An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems
• Convex analysis and monotone operator theory in Hilbert spaces

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