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arXiv · 1812.05980

Probabilistic Class-Specific Discriminant Analysis

Alexandros Iosifidis
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Abstract

In this paper we formulate a probabilistic model for class-specific discriminant subspace learning. The proposed model can naturally incorporate the multi-modal structure of the negative class, which is neglected by existing class-specific methods. Moreover, it can be directly used to define a class-specific probabilistic classification rule in the discriminant subspace. We show that existing class-specific discriminant analysis methods are special cases of the proposed probabilistic model and, by casting them as probabilistic models, they can be extended to class-specific classifiers. We illustrate the performance of the proposed model in both verification and classification problems.

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BibTeXRIS

Alexandros Iosifidis. 2018-12-14. Probabilistic Class-Specific Discriminant Analysis. https://arxiv.org/abs/1812.05980

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