Haar散射变换下的多模态学习

王娟, 赵杰

doi:10.13371/j.cnki.chin.q.j.m.2019.03.009

数学季刊 >

2019 , Vol. 34 >Issue 3: 314 - 322

DOI: https://doi.org/10.13371/j.cnki.chin.q.j.m.2019.03.009

Haar散射变换下的多模态学习

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收稿日期: 2019-06-10

网络出版日期: 2020-08-23

基金资助

Supported by the Natural Science Foundation of China(11626239)； China Scholarship Council(No.201708410483)； the Foundation of Education Department of Henan Province(18A110037)；

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Multimodal Learning Using Haar Scattering Transform

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College of Science, Zhongyuan University of Technology

WANG Juan(1984-), female, native of Shangqiu, Henan, a lecturer of Zhongyuan University of Technology, Ph.D., engages in image processing; ZHAO Jie(1983-), male, native of Kaifeng, Henan, a lecturer of Zhongyuan University of Technology, Ph.D., engages in partial of differential equations.

Received date: 2019-06-10

Online published: 2020-08-23

Supported by

Supported by the Natural Science Foundation of China(11626239)； China Scholarship Council(No.201708410483)； the Foundation of Education Department of Henan Province(18A110037)；

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王娟, 赵杰 . Haar散射变换下的多模态学习[J]. 数学季刊, 2019 , 34(3) : 314 -322 . DOI: 10.13371/j.cnki.chin.q.j.m.2019.03.009

Abstract

In this paper, we propose a novel application of Haar scattering transform to learn features over multiple modalities data. A series of tasks for multimodal learning are presented, and the way of multimodal feature learning is shown. Furthermore, we validate our methods on several datasets with an classification task, demonstrating that the approach is effective.

Key words： Multimodal learning; Haar scattering transform; Classification task

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