Multi-view latent space learning based on local discriminant embedding

Yue Zhao, Xinge You*, Yantao Wei, Shi Yin, Dacheng Tao, Yiu Ming CHEUNG

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

In many computer vision systems, one object can be described by multi-view data. Compared with individual view, multi-view data can contain complete and complementary information of the problem. But when views capture information which is uniquely but not complete enough to give an uniform learning performance, multi-view data may degrade the learning performance and it is therefore not an ideal solution to simply concatenate multiple views into single view. In this paper, we proposed an multi-view latent space learning algorithm which assume that multi-view data is extracted from the same latent space via distinct transformation. Under this assumption, our algorithm can have a good performance even though views are not complete and the space obtained can contain the valuable information of each view as well as get the underlying connections between multi-view data. Due to the local discriminant embedding of the input space, this multi-view latent space is more suitable for classification or recognition problems. The proposed algorithm is evaluated on two tasks: indoor scene classification and abnormal objects classification on MIT scene 67, Abnormal Objects database respectively. Extensive experiments show that the algorithm we proposed achieves comparable improvements when compared with many other outstanding methods.

Original languageEnglish
Title of host publicationProceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages225-230
Number of pages6
ISBN (Electronic)9781509035557
DOIs
Publication statusPublished - 13 Jul 2017
Event7th International Conference on Cloud Computing and Big Data, CCBD 2016 - Taipa, Macau, China
Duration: 16 Nov 201618 Nov 2016

Publication series

NameProceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016

Conference

Conference7th International Conference on Cloud Computing and Big Data, CCBD 2016
Country/TerritoryChina
CityTaipa, Macau
Period16/11/1618/11/16

Scopus Subject Areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems
  • Computer Science Applications

User-Defined Keywords

  • local discriminant embedding
  • multi-view data
  • multi-view latent space

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