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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...
שמור ב:
| הוצא לאור ב: | IEEE Trans Pattern Anal Mach Intell |
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| Main Authors: | , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
2006
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| נושאים: | |
| גישה מקוונת: | 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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