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Multi-View Nonparametric Discriminant Analysis for Image Retrieval and Recognition

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Details

Original languageEnglish
Pages (from-to)1537-1541
JournalIEEE Signal Processing Letters
Volume24
Issue number10
DOIs
Publication statusPublished - Oct 2017
Publication typeA1 Journal article-refereed

Abstract

A novel multi-view nonparametric discriminant analysis method is proposed for the application of cross-modal image retrieval and zero-shot recognition. We exploit the class boundary structure and discrepancy information of the available views in order to formulate an optimization criterion which is automatically adjusted to the multi-view class structures. The proposed method allows for multiple projection directions, by relaxing the Gaussian distribution assumption of related methods. The experiments demonstrate that the proposed method can achieve superior results comparing to several existing methods.

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