Feature selection via dimensionality reduction for object class recognition
This paper investigates the effects of feature selection via dimensionality reduction techniques for the task of object class recognition. Two filter-based algorithms are considered namely Correlation-based Feature Selection (CFS) and Principal Components Analysis (PCA). A Support Vector Machine is...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2011
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| Online Access: | http://psasir.upm.edu.my/id/eprint/48177/1/Feature%20selection%20via%20dimensionality%20reduction%20for%20object%20class%20recognition.pdf http://psasir.upm.edu.my/id/eprint/48177/ |
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