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Why Deep Learning Is More Efficient than Support Vector Machines, and How it is Related to Sparsity Techniques in Signal Processing.
Laxman Bokati
Olga Kosheleva
Vladik Kreinovich
Uram Anibal Sosa Aguirre
Published in:
ISMSI (2020)
Keyphrases
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deep learning
signal processing
support vector
unsupervised learning
image processing
unsupervised feature learning
feature selection
decision trees
denoising
higher order
domain specific
sparse representation
mental models
weakly supervised