Facial expression recognition based on discriminant neighborhood preserving nonnegative tensor factorization and ELM

G An, S Liu, Y Jin, Q Ruan, S Lu - Mathematical Problems in …, 2014 - Wiley Online Library
A novel facial expression recognition algorithm based on discriminant neighborhood
preserving nonnegative tensor factorization (DNPNTF) and extreme learning machine (ELM) …

A sparse neighborhood preserving non-negative tensor factorization algorithm for facial expression recognition

G An, S Liu, Q Ruan - Pattern Analysis and Applications, 2017 - Springer
In this paper, a novel sparse neighborhood preserving non-negative tensor factorization
(SNPNTF) algorithm is proposed for facial expression recognition. It is derived from non …

Nonnegative tensor factorization based on low-rank subspace for facial expression recognition

X Liu, C Li, C Dai, J Lai, HC Chao - Mobile Networks and Applications, 2022 - Springer
Important progresses have been made in the field of artificial intelligence in recent years,
and facial expression recognition (FER), which could greatly facilitate the development of …

Face recognition and micro-expression recognition based on discriminant tensor subspace analysis plus extreme learning machine

SJ Wang, HL Chen, WJ Yan, YH Chen, X Fu - Neural processing letters, 2014 - Springer
In this paper, a novel recognition algorithm based on discriminant tensor subspace analysis
(DTSA) and extreme learning machine (ELM) is introduced. DTSA treats a gray facial image …

[PDF][PDF] Face recognition and micro-expression based on discriminant tensor subspace analysis plus extreme learning machine

SJ Wang, HL Chen, WJ Yan, YH Chen, X Fu - Neural Processing Letters - Citeseer
In this paper, a novel recognition algorithm based on Discriminant Tensor Subspace
Analysis (DTSA) and Extreme Learning Machine (ELM) is introduced. DTSA treats a gray …

A novel facial expression recognition method based on extreme learning machine

ZT Liu, GT Sui, DY Li, GZ Tan - 2015 34th Chinese control …, 2015 - ieeexplore.ieee.org
A facial expression recognition method based on Extreme Learning Machine (ELM) is
proposed, in which Gabor filter and two dimension principal components analysis (2DPCA) …

A novel Monogenic Directional Pattern (MDP) and pseudo-Voigt kernel for facilitating the identification of facial emotions

AS Alphonse, D Dharma - Journal of Visual Communication and Image …, 2017 - Elsevier
Facial expressions are the best way of communicating human emotions. This paper
proposes a novel Monogenic Directional Pattern (MDP) for extracting features from the face …

Joint spatial geometric and max-margin classifier constraints for facial expression recognition using nonnegative matrix factorization

L Mai, TT Phan - 2019 - elib.vku.udn.vn
In this paper, we propose a new approach to facial expression recognition based on the
constrained non-negative matrix factorization algorithm. Our proposed method incorporated …

A discriminant manifold non-negative matrix factorization algorithm for facial expression recognition

W Jiying, X Shenglin, Y Yi, L Bo - 2016 IEEE 13th International …, 2016 - ieeexplore.ieee.org
In this paper, a novel discriminant manifold nonnegative matrix factorization (DMNMF)
algorithm is proposed. To exploit the spatial neighborhood structure and prior defined class …

FER based on the improved convex nonnegative matrix factorization feature

J Zhou, T Wang - Multimedia Tools and Applications, 2020 - Springer
Facial expression recognition is an important research issue in the pattern recognition field.
In this paper, we intend to present an accurate facial expression recognition (FER) system …