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Method for optimizing channelized quadratic observers for binary classification of large-dimensional image datasets
We present a new method for computing optimized channels for channelized quadratic observers (CQO) that is feasible for high-dimensional image data. The method for calculating channels is applicable in general and optimal for Gaussian distributed image data. Gradient-based algorithms for determining...
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| Publié dans: | J Opt Soc Am A Opt Image Sci Vis |
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| Auteurs principaux: | , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2015
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4667371/ https://ncbi.nlm.nih.gov/pubmed/26366764 |
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