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IMAGE REPRESENTATION USING SUPERVISED AND UNSUPERVISED LEARNING METHODS ON COMPLEX DOMAIN

Abstract: 

Matrix factorization (MF) and its extensions have been intensively studied in computer vision and machine learning. In this paper, unsupervised and supervised learning methods based on MF technique on complex domain are introduced. Projective complex matrix factorization (PCMF) and discriminant projective complex matrix factorization (DPCMF) present two frameworks of projecting complex data to a lower dimension space. The optimization problems are formulated as the minimization of the real-valued functions of complex variables. Motivated by independence among extracted features, Fisher linear discriminant is used as hard constraint on supervised model. Experimental results on facial expression recognition (FER) show improved classification performance in comparison to real-valued features of both unsupervised and supervised NMFs.

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Paper Details

Authors:
Manh-Quan Bui, Viet-Hang Duong, Yung-Hui Li, Tzu-Chiang Tai, Jia-Ching Wang
Submitted On:
13 April 2018 - 5:40am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Manh-Quan Bui
Paper Code:
IVMSP-L3.1
Document Year:
2018
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Document Files

ICASSP2018_DPCMF_2.pdf

(87 downloads)

ICASSP2018_DPCMF_Origin1.pdf

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[1] Manh-Quan Bui, Viet-Hang Duong, Yung-Hui Li, Tzu-Chiang Tai, Jia-Ching Wang, "IMAGE REPRESENTATION USING SUPERVISED AND UNSUPERVISED LEARNING METHODS ON COMPLEX DOMAIN", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2618. Accessed: Sep. 21, 2018.
@article{2618-18,
url = {http://sigport.org/2618},
author = {Manh-Quan Bui; Viet-Hang Duong; Yung-Hui Li; Tzu-Chiang Tai; Jia-Ching Wang },
publisher = {IEEE SigPort},
title = {IMAGE REPRESENTATION USING SUPERVISED AND UNSUPERVISED LEARNING METHODS ON COMPLEX DOMAIN},
year = {2018} }
TY - EJOUR
T1 - IMAGE REPRESENTATION USING SUPERVISED AND UNSUPERVISED LEARNING METHODS ON COMPLEX DOMAIN
AU - Manh-Quan Bui; Viet-Hang Duong; Yung-Hui Li; Tzu-Chiang Tai; Jia-Ching Wang
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2618
ER -
Manh-Quan Bui, Viet-Hang Duong, Yung-Hui Li, Tzu-Chiang Tai, Jia-Ching Wang. (2018). IMAGE REPRESENTATION USING SUPERVISED AND UNSUPERVISED LEARNING METHODS ON COMPLEX DOMAIN. IEEE SigPort. http://sigport.org/2618
Manh-Quan Bui, Viet-Hang Duong, Yung-Hui Li, Tzu-Chiang Tai, Jia-Ching Wang, 2018. IMAGE REPRESENTATION USING SUPERVISED AND UNSUPERVISED LEARNING METHODS ON COMPLEX DOMAIN. Available at: http://sigport.org/2618.
Manh-Quan Bui, Viet-Hang Duong, Yung-Hui Li, Tzu-Chiang Tai, Jia-Ching Wang. (2018). "IMAGE REPRESENTATION USING SUPERVISED AND UNSUPERVISED LEARNING METHODS ON COMPLEX DOMAIN." Web.
1. Manh-Quan Bui, Viet-Hang Duong, Yung-Hui Li, Tzu-Chiang Tai, Jia-Ching Wang. IMAGE REPRESENTATION USING SUPERVISED AND UNSUPERVISED LEARNING METHODS ON COMPLEX DOMAIN [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2618