Example-based learning using heuristic orthogonal matching pursuit teaching mechanism with auxiliary coefficient representation for the problem of de-fencing and its affiliated applications
Author:
Funder
Project of Shanghai Universities Young Teacher Training Scheme
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/article/10.1007/s10489-017-1079-9/fulltext.html
Reference37 articles.
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3. Elad M (2010) Sparse and redundant representations: From theory to applications in signal and image processing. Springer, New York
4. Huang Y, Guan Y (2017) Learning and intelligence can happen everywhere, a case study: learning via non-uniform 1D rulers with applications in image classification and recognition. Multimedia Tools and Applications 76(1):913–929
5. Bruckstein A, Donoho DL, Elad M (2009) From sparse solutions of systems of equations to sparse modeling of signals and images. SIAM Rev 51(1):34–81
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