Comparison of Performance on the Different Classifiers of the Locating Protected Projection (LPP) Dimension Reduction Method Based LBP Features
Image cells havetaken with Light Microscope help. The local binary pattern (LBP) features haveobtained for original images. High-dimensional of these LBP features is reducedto lower-dimensional with Locality Preserving Projections (LPP). These lowdimensional data are classified by the Random Forest...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Sakarya University
2018-08-01
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| Series: | Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi |
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| Online Access: | https://dergipark.org.tr/tr/download/article-file/394755 |
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