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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Bibliographic Details
Main Authors: Manshor, Noridayu, Abdul Halin, Alfian, Rajeswari, Mandava, Ramachandram, Dhanesh
Format: Conference or Workshop Item
Language:English
Published: IEEE 2011
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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