A Future of Abundant Sparsity: Novel Use and Analysis of Sparse Coding in Machine Learning Applications
We present novel applications and analysis of the use of sparse coding within the con- text of machine learning. We first present Sparse Coding Trees (SC-trees), a sparse coding-based framework for resolving classification conflicts, which occur when different classes are mapped to similar feature r...
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| Format: | Others |
| Language: | en |
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Harvard University
2015
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| Online Access: | http://nrs.harvard.edu/urn-3:HUL.InstRepos:17417575 |