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On the convergence of group-sparse autoencoders
Recent approaches in the theoretical analysis of model-based deep learni...
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Deep Diffusion Processes for Active Learning of Hyperspectral Images
A method for active learning of hyperspectral images (HSI) is proposed, ...
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Manifold Learning and Deep Clustering with Local Dictionaries
We introduce a novel clustering algorithm for data sampled from a union ...
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Dense and Sparse Coding: Theory and Architectures
The sparse representation model has been successfully utilized in a numb...
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Low-rank Matrix Completion in a General Non-orthogonal Basis
This paper considers theoretical analysis of recovering a low rank matri...
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Exact Reconstruction of Euclidean Distance Geometry Problem Using Low-rank Matrix Completion
The Euclidean distance geometry problem arises in a wide variety of appl...
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Abiy Tasissa
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