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Learning Object Material Categories via Pairwise Discriminant Analysis

Fu, Zhouyu; Robles-Kelly, Antonio


In this paper, we investigate linear discriminant analysis (LDA) methods for multiclass classification problems in hyperspectral imaging. We note that LDA does not consider pairwise relations between different classes, it rather assumes equal within and between-class scatter matrices. As a result, we present a pairwise discriminant analysis algorithm for learning class categories. Our pairwise linear discriminant analysis measures the separability of two classes making use of the class...[Show more]

CollectionsANU Research Publications
Date published: 2007
Type: Conference paper
Source: Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR 2007)
DOI: 10.1109/CVPR.2007.383458


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