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Generative-Discriminative Basis Learning for Medical Imaging
This paper presents a novel dimensionality reduction method for classification in medical imaging. The goal is to transform very high-dimensional input (typically, millions of voxels) to a low-dimensional representation (small number of constructed features) that preserves discriminative signal and...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2011
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3402718/ https://ncbi.nlm.nih.gov/pubmed/21791408 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2011.2162961 |
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