Semi-supervised dimensionality reduction on data with multiple representations for label propagation on facial images

Olga Zoidi, Nikos Nikolaidis, Ioannis Pitas

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

4 Citations (Scopus)
198 Downloads (Pure)

Abstract

In this paper a novel method is introduced for semi-supervised dimensionality reduction on facial images extracted from stereo videos. It operates on image data with multiple representations and calculates a projection matrix that preserves locality information and a priori pairwise information, in the form of must-link and cannot-link constraints between the various data representations, as well as label information for a percentage of the data. The final data representation is a linear combination of the projections of all data representations. The performance of the proposed Semi-supervised Multiple
Locality Preserving Projections method was evaluated in person identity label propagation on facial images extracted from stereo movies. Experimental results showed that the proposed method outperforms state of the art methods.
Original languageEnglish
Title of host publication2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014)
Subtitle of host publicationProceedings of a meeting held 4-9 May 2014, Florence, Italy
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages6019-6023
Number of pages5
ISBN (Electronic)9781479928927
ISBN (Print)9781479928941
DOIs
Publication statusPublished - Sep 2014
Event2014 IEEE International Conference on Acoustics, Speech and Signal Processing - Florence, Italy
Duration: 4 May 20149 May 2014

Publication series

NameProceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISSN (Print)1520-6149

Conference

Conference2014 IEEE International Conference on Acoustics, Speech and Signal Processing
Abbreviated titleICASSP '14
CountryItaly
CityFlorence
Period4/05/149/05/14

Keywords

  • Locality preserving projections
  • semi-supervised learning
  • label propagation

Fingerprint

Dive into the research topics of 'Semi-supervised dimensionality reduction on data with multiple representations for label propagation on facial images'. Together they form a unique fingerprint.

Cite this