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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 27 / No. 1: Twenty-Seventh AAAI Conference on Artificial Intelligence

Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification

March 8, 2023

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Authors

Yong Luo

Peking University


Dacheng Tao

University of Technology, Sydney


Chang Xu

Peking University


Dongchen Li

Peking University


Chao Xu

Peking University


DOI:

10.1609/aaai.v27i1.8589


Abstract:

Images are usually associated with multiple labels and comprised of multiple views, due to each image containing several objects (e.g. a pedestrian, bicycle and tree) and multiple visual features (e.g. color, texture and shape). Currently available tools tend to use either labels or features for classification, but both are necessary to describe the image properly. There have been recent successes in using vector-valued functions, which construct matrix-valued kernels, to explore the multi-label structure in the output space. This has motivated us to develop multi-view vector-valued manifold regularization (MV$^3$MR) in order to integrate multiple features. MV$^3$MR exploits the complementary properties of different features, and discovers the intrinsic local geometry of the compact support shared by different features, under the theme of manifold regularization. We validate the effectiveness of the proposed MV$^3$MR methodology for image classification by conducting extensive experiments on two challenge datasets, PASCAL VOC' 07 and MIR Flickr.

Topics: AAAI

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HOW TO CITE:

Yong Luo|| Dacheng Tao|| Chang Xu|| Dongchen Li|| Chao Xu Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification Proceedings of the AAAI Conference on Artificial Intelligence, 27 (2013) 647.

Yong Luo|| Dacheng Tao|| Chang Xu|| Dongchen Li|| Chao Xu Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification AAAI 2013, 647.

Yong Luo|| Dacheng Tao|| Chang Xu|| Dongchen Li|| Chao Xu (2013). Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification. Proceedings of the AAAI Conference on Artificial Intelligence, 27, 647.

Yong Luo|| Dacheng Tao|| Chang Xu|| Dongchen Li|| Chao Xu. Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification. Proceedings of the AAAI Conference on Artificial Intelligence, 27 2013 p.647.

Yong Luo|| Dacheng Tao|| Chang Xu|| Dongchen Li|| Chao Xu. 2013. Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification. "Proceedings of the AAAI Conference on Artificial Intelligence, 27". 647.

Yong Luo|| Dacheng Tao|| Chang Xu|| Dongchen Li|| Chao Xu. (2013) "Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification", Proceedings of the AAAI Conference on Artificial Intelligence, 27, p.647

Yong Luo|| Dacheng Tao|| Chang Xu|| Dongchen Li|| Chao Xu, "Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification", AAAI, p.647, 2013.

Yong Luo|| Dacheng Tao|| Chang Xu|| Dongchen Li|| Chao Xu. "Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification". Proceedings of the AAAI Conference on Artificial Intelligence, 27, 2013, p.647.

Yong Luo|| Dacheng Tao|| Chang Xu|| Dongchen Li|| Chao Xu. "Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification". Proceedings of the AAAI Conference on Artificial Intelligence, 27, (2013): 647.

Yong Luo|| Dacheng Tao|| Chang Xu|| Dongchen Li|| Chao Xu. Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification. AAAI[Internet]. 2013[cited 2023]; 647.


ISSN: 2374-3468


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