One class classification applied in facial image analysis

Vasileios Mygdalis; Alexandros Iosifidis; Anastasios Tefas; Ioannis Pitas

doi:10.1109/ICIP.2016.7532637

One class classification applied in facial image analysis

Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas

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

13 Citations (Scopus)

359 Downloads (Pure)

Abstract

In this paper, we apply One-Class Classification methods in facial image analysis problems. We consider the cases where the available training data information originates from one class, or one of the available classes is of high importance. We propose a novel extension of the One-Class Extreme Learning Machines algorithm aiming at minimizing both the training error and the data dispersion and consider solutions that generate decision functions in the ELM space, as well as in ELM
spaces of arbitrary dimensionality. We evaluate the performance in publicly available datasets. The proposed method compares favourably to other state-of-the-art choices.

Original language	English
Title of host publication	2016 IEEE International Conference on Image Process (ICIP 2016)
Subtitle of host publication	Proceedings of a meeting held 25-29 September 2016, Phoenix, AZ, USA
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1644-1648
Number of pages	5
ISBN (Electronic)	9781467399616
ISBN (Print)	9781467399623
DOIs	https://doi.org/10.1109/ICIP.2016.7532637
Publication status	Published - Mar 2017
Event	IEEE International Conference on Image Processing - Phoenix, Arizona, United States Duration: 25 Sept 2016 → 28 Sept 2016

Publication series

Name	Proceedings of the IEEE International Conference on Image Processing (ICIP)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISSN (Print)	2381-8549

Conference

Conference	IEEE International Conference on Image Processing
Abbreviated title	ICIP
Country/Territory	United States
City	Phoenix, Arizona
Period	25/09/16 → 28/09/16

Keywords

Facial image analysis
one-class classification
regularization

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10.1109/ICIP.2016.7532637

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Mygdalis, V., Iosifidis, A., Tefas, A., & Pitas, I. (2017). One class classification applied in facial image analysis. In 2016 IEEE International Conference on Image Process (ICIP 2016): Proceedings of a meeting held 25-29 September 2016, Phoenix, AZ, USA (pp. 1644-1648). (Proceedings of the IEEE International Conference on Image Processing (ICIP)). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICIP.2016.7532637

Mygdalis, Vasileios ; Iosifidis, Alexandros ; Tefas, Anastasios et al. / One class classification applied in facial image analysis. 2016 IEEE International Conference on Image Process (ICIP 2016): Proceedings of a meeting held 25-29 September 2016, Phoenix, AZ, USA. Institute of Electrical and Electronics Engineers (IEEE), 2017. pp. 1644-1648 (Proceedings of the IEEE International Conference on Image Processing (ICIP)).

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title = "One class classification applied in facial image analysis",

abstract = "In this paper, we apply One-Class Classification methods in facial image analysis problems. We consider the cases where the available training data information originates from one class, or one of the available classes is of high importance. We propose a novel extension of the One-Class Extreme Learning Machines algorithm aiming at minimizing both the training error and the data dispersion and consider solutions that generate decision functions in the ELM space, as well as in ELM spaces of arbitrary dimensionality. We evaluate the performance in publicly available datasets. The proposed method compares favourably to other state-of-the-art choices.",

keywords = "Facial image analysis, one-class classification, regularization",

author = "Vasileios Mygdalis and Alexandros Iosifidis and Anastasios Tefas and Ioannis Pitas",

year = "2017",

month = mar,

doi = "10.1109/ICIP.2016.7532637",

language = "English",

isbn = "9781467399623",

series = "Proceedings of the IEEE International Conference on Image Processing (ICIP)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

pages = "1644--1648",

booktitle = "2016 IEEE International Conference on Image Process (ICIP 2016)",

address = "United States",

note = "IEEE International Conference on Image Processing, ICIP ; Conference date: 25-09-2016 Through 28-09-2016",

}

Mygdalis, V, Iosifidis, A, Tefas, A & Pitas, I 2017, One class classification applied in facial image analysis. in 2016 IEEE International Conference on Image Process (ICIP 2016): Proceedings of a meeting held 25-29 September 2016, Phoenix, AZ, USA. Proceedings of the IEEE International Conference on Image Processing (ICIP), Institute of Electrical and Electronics Engineers (IEEE), pp. 1644-1648, IEEE International Conference on Image Processing, Phoenix, Arizona, United States, 25/09/16. https://doi.org/10.1109/ICIP.2016.7532637

One class classification applied in facial image analysis. / Mygdalis, Vasileios; Iosifidis, Alexandros; Tefas, Anastasios et al.
2016 IEEE International Conference on Image Process (ICIP 2016): Proceedings of a meeting held 25-29 September 2016, Phoenix, AZ, USA. Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 1644-1648 (Proceedings of the IEEE International Conference on Image Processing (ICIP)).

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

TY - GEN

T1 - One class classification applied in facial image analysis

AU - Mygdalis, Vasileios

AU - Iosifidis, Alexandros

AU - Tefas, Anastasios

AU - Pitas, Ioannis

PY - 2017/3

Y1 - 2017/3

N2 - In this paper, we apply One-Class Classification methods in facial image analysis problems. We consider the cases where the available training data information originates from one class, or one of the available classes is of high importance. We propose a novel extension of the One-Class Extreme Learning Machines algorithm aiming at minimizing both the training error and the data dispersion and consider solutions that generate decision functions in the ELM space, as well as in ELM spaces of arbitrary dimensionality. We evaluate the performance in publicly available datasets. The proposed method compares favourably to other state-of-the-art choices.

AB - In this paper, we apply One-Class Classification methods in facial image analysis problems. We consider the cases where the available training data information originates from one class, or one of the available classes is of high importance. We propose a novel extension of the One-Class Extreme Learning Machines algorithm aiming at minimizing both the training error and the data dispersion and consider solutions that generate decision functions in the ELM space, as well as in ELM spaces of arbitrary dimensionality. We evaluate the performance in publicly available datasets. The proposed method compares favourably to other state-of-the-art choices.

KW - Facial image analysis

KW - one-class classification

KW - regularization

U2 - 10.1109/ICIP.2016.7532637

DO - 10.1109/ICIP.2016.7532637

M3 - Conference Contribution (Conference Proceeding)

SN - 9781467399623

T3 - Proceedings of the IEEE International Conference on Image Processing (ICIP)

SP - 1644

EP - 1648

BT - 2016 IEEE International Conference on Image Process (ICIP 2016)

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - IEEE International Conference on Image Processing

Y2 - 25 September 2016 through 28 September 2016

ER -

Mygdalis V, Iosifidis A, Tefas A, Pitas I. One class classification applied in facial image analysis. In 2016 IEEE International Conference on Image Process (ICIP 2016): Proceedings of a meeting held 25-29 September 2016, Phoenix, AZ, USA. Institute of Electrical and Electronics Engineers (IEEE). 2017. p. 1644-1648. (Proceedings of the IEEE International Conference on Image Processing (ICIP)). Epub 2016 Aug 19. doi: 10.1109/ICIP.2016.7532637

One class classification applied in facial image analysis

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