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GitHub / thecml / thesis-cloudksvd
Master's thesis about sparse approximation and dictionary learning using Cloud K-SVD for image denoising. Results show that the algorithm is able to learn sparse representations of signal vectors from distributed data samples in a heterogeneous network setup.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/thecml%2Fthesis-cloudksvd
Stars: 5
Forks: 0
Open Issues: 0
License: None
Language: Python
Repo Size: 20.7 MB
Dependencies: pending
Created: over 4 years ago
Updated: almost 2 years ago
Last pushed: over 2 years ago
Last synced: over 1 year ago
Topics: cloud-ksvd, denoising, dictionary-learning, image-processing, images, omp, sparse-coding, thesis, training