Feature selection via dimensionality reduction for object class recognition

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/
http://psasir.upm.edu.my/id/eprint/48177/1/Feature%20selection%20via%20dimensionality%20reduction%20for%20object%20class%20recognition.pdf

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