A supervised multiview spectral embedding method for neuroimaging classification

Sidong Liu, Lelin Zhang, Weidong Cai, Yang Song, Zhiyong Wang, Lingfeng Wen, David Dagan Feng

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

20 Citations (Scopus)

Abstract

The multi-view/multi-modal features are commonly used in neuroimaging classification because they could provide complementary information to each other and thus result in better classification performance than single-view features. However, it is very challenging to effectively integrate such rich features, since straightforward concatenation or singleview spectral embedding methods rarely leads to physically meaningful integration. In this paper, we present a supervised multi-view/multi-modal spectral embedding method (SMSE) for neuroimaging classification. This method embeds the high dimensional multi-view features derived from multi-modal neuroimaging data into a low dimensional feature space and preserves the optimal local embeddings among different views. The proposed SMSE algorithm, validated using three groups of neuroimaging data, is able to achieve significant classification improvement over the state-of-the-art multi-view spectral embedding methods.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages601-605
Number of pages5
ISBN (Print)9781479923410
DOIs
Publication statusPublished - 1 Dec 2013
Externally publishedYes
Event2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, Australia
Duration: 15 Sep 201318 Sep 2013

Conference

Conference2013 20th IEEE International Conference on Image Processing, ICIP 2013
CountryAustralia
CityMelbourne, VIC
Period15/09/1318/09/13

Keywords

  • multi-view spectral embedding
  • neuroimaging classification
  • supervised learning

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  • Cite this

    Liu, S., Zhang, L., Cai, W., Song, Y., Wang, Z., Wen, L., & Feng, D. D. (2013). A supervised multiview spectral embedding method for neuroimaging classification. In 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings (pp. 601-605). [6738124] Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICIP.2013.6738124