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Feature Extraction Using Information-Theoretic Learning
A classification system typically consists of both a feature extractor (preprocessor) and a classifier. These two components can be trained either independently or simultaneously. The former option has an implementation advantage since the extractor need only be trained once for use with any classif...
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| Pubblicato in: | IEEE Trans Pattern Anal Mach Intell |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2006
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6528827/ https://ncbi.nlm.nih.gov/pubmed/16929726 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TPAMI.2006.186 |
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