Sparse approximation
Sparse approximation (also known as sparse representation) theory deals with sparse solutions for systems of linear equations. Techniques for finding these solutions and exploiting them in applications have found wide use in image processing, signal processing, machine learning, medical imaging, and more.
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Algorithms for sparse approximationAli AkansuBag-of-words model in computer visionBasis pursuitCompressed sensingConvolutional neural networkDiscrete cosine transformExtreme learning machineJoel TroppK-SVDList of NP-complete problemsList of numerical analysis topicsMatching pursuitMichael EladMutual coherence (linear algebra)Neural codingShearletSparse dictionary learningSparse optimizationSparse representationStructured sparsity regularizationZero-inflated model
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Sparse approximation
Sparse approximation (also known as sparse representation) theory deals with sparse solutions for systems of linear equations. Techniques for finding these solutions and exploiting them in applications have found wide use in image processing, signal processing, machine learning, medical imaging, and more.
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Sparse approximation (also kno ...... ng, medical imaging, and more.
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Sparse approximation (also kno ...... ng, medical imaging, and more.
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Sparse approximation
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