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Novel histograms kernels with structural properties

delete2015-12-01
delete1
PRE
AI
Y
Yoanna Martínez-Díaz
N
Noslen Hernández *
H
Heydi Méndez-Vázquez
DOI：10.1016/j.patrec.2015.09.005delete
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Abstract

Abstract

En 中文
This paper introduces a new similarity measure for comparing histograms, named Weighted Distribution Matching, which bases the comparison not only in the specific bin values but also in the shape of the histograms. It is proved that the proposed similarity is a conditionally positive definite kernel. The space where histograms lie is studied, and some intuitively desirable structural properties are introduced. The most representative measures of the state of art were compared on the basis of these properties. Experiments conducted on face recognition and image retrieval validate the proposal. (C) 2015 Elsevier B.V. All rights reserved.
Keywords:
Histogram similarity
Kernel function
Face recognition
Image retrieval

Journal

Pattern Recognition Letters cover
Pattern Recognition Letters
IF:
3.3
Papers:
7.9K
Citations:
1.6W

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