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Search results for feature selection compressed sensing
compressed-sensing
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feature-selection
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4 search results found
L0learn
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84
Efficient Algorithms for L0 Regularized Learning
Compressedsensing.jl
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18
Contains a wide-ranging collection of compressed sensing and feature selection algorithms. Examples include matching pursuit algorithms, forward and backward stepwise regression, sparse Bayesian learning, and basis pursuit.
Pysmrs
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8
An unsupervised compressed-sensing technique for fundamental objects selection
A Sparse Coding Based Approach For Class Specific Feature Selection
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8
A novel Sparse-Coding Based Approach Feature Selection with emphasizing joint l_1,2-norm minimization and the Class-Specific Feature Selection.
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