Performance analysis of different machine learning approaches for single modal facial expression detection

Performance analysis of different machine learning approaches for single modal facial expression detection

Cataloged from PDF version of thesis.

Bibliografiske detaljer
Main Authors:	Zinia, Surovi, Azmol, Aliza Ibn, Islam, Saiful
Andre forfattere:	Alam, Dr. Md Ashraful
Format:	Thesis
Sprog:	English
Udgivet:	BRAC University 2018
Fag:	Artificial Neural Network (ANN) Logistic regression Principal component analysis Facial expression. Machine learning.
Online adgang:	http://hdl.handle.net/10361/10843

Lignende værker

An efficient facial expression recognition method using mean And standard deviation
af: Laboni, Pragna, et al.
Udgivet: (2017)

Comparative analysis between Inception-v3 and other learning systems using facial expressions detection
af: Nivrito, AKM, et al.
Udgivet: (2016)

Use of gestures and facial expression in language acquisition
af: Fyrooz Binte Mohsin
Udgivet: (2016)

MEDNET – an approach to facial micro-emotion recognition using pixel binning and local Binary pattern - convolutional neural network
af: Araf, Tashreef Abdullah
Udgivet: (2024)

Facial expression recognition: convolutional attentional masking network and ensemble approach
af: Kowsar, Ibna, et al.
Udgivet: (2021)

Study on human emotion based on facial expressions through human machine communication
af: Murshed, Tahmin Aysha, et al.
Udgivet: (2021)

A voice signal based gender prediction model using random forest classifier
af: Ahmed, Saif, et al.
Udgivet: (2018)

Accurate analysis of mood detection using eye-images rather than facial expression recognition (FER)
af: Hossain, Arafat, et al.
Udgivet: (2023)

A twin prediction method using facial recognition feature
af: Nafees, Masnoon, et al.
Udgivet: (2017)

Automatic attendance system using facial recognition
af: Sikdar, Tushar, et al.
Udgivet: (2022)

Facial recognition using dynamic image processing
af: Haque, Md. Asiful, et al.
Udgivet: (2017)

Impact of distribution of capital logistics and c-express ltd on logistics and local courier business
af: Karim, Md. Ahmedul
Udgivet: (2021)

Delivering goods and transportation logistics operations of Capital Logistics & Express Limited
af: Uddin, Mezba
Udgivet: (2019)

Digital marketing activities of Nordic Express Limited
af: Amin, Ashiqur
Udgivet: (2019)

Implementation of neural network in game engine to create smart bot and behavior analysis
af: Shovon, Zamshed Khan, et al.
Udgivet: (2018)

Employees’ satisfaction with HR hiring and selection policy of DHL worldwide express (BD) Pvt. Ltd.
af: Rozario, Paola Agnes
Udgivet: (2017)

Emotion recognition from facial expression of autism spectrum disordered children using image processing and machine learning algorithms
af: Tasnim, Nishat, et al.
Udgivet: (2019)

Parcel delivery - opportunities & challenges for Capital Logistics & C-Express Ltd.
af: Ornob, Md. Monzurul Huq.
Udgivet: (2019)

Facial recognition using empirical mode decomposition, Multi-linear principal component analysis and post-processing using expectation maximization algorithm
af: Chowdhury, Mabrur Mujib
Udgivet: (2014)

Customer satisfaction to Expressions Limited
af: Mahmud, Md. Riaz
Udgivet: (2020)

A hybrid approach to determine patients critical situation using expression & posture with convolutional neural network & Blazepose algorithm
af: Islam, Abrar, et al.
Udgivet: (2024)

Early detection of breast cancer using machine learning
af: Fuad, Wasi Mohammad
Udgivet: (2019)

Editing: my internship experience at The Financial Express
af: Rahman, Banojir
Udgivet: (2017)

Nonparametric bootstrapping for multiple logistic regression model using R
af: Hossain, Ahmed, et al.
Udgivet: (2010)

Obscure face recognition using deep neural networks
af: Akash, MD Shahadat Hossain, et al.
Udgivet: (2023)

Comparative data analysis of a PV module system considering weather parameters
af: Ahmed, Nafiz, et al.
Udgivet: (2021)

Proceedings of the 2nd Workshop on Facial Micro-Expression: Advanced Techniques for Multi-Modal Facial Expression Analysis

Proceedings of the 3rd Workshop on Facial Micro-Expression: Advanced Techniques for Multi-Modal Facial Expression Analysis

Design and prototypical implementation of a mobile healthcare application : health express
af: Shawkat, Shahan, et al.
Udgivet: (2016)

Microsoft Expression Web 4 step by step /
af: Leeds, Chris
Udgivet: (2011)

Predicting stock market trend from twitter feed and building a framework for Bangladesh
af: Karim, Shabab, et al.
Udgivet: (2018)

Bringing out the best in teachers : what effective principals do /
af: Blase, Joseph
Udgivet: (1992)

Principal component analysis /
af: Jolliffe, I. T.
Udgivet: (2002)

Overall human resource policies & practices Mettro Express
af: Mahmud, Ashfaque
Udgivet: (2021)

Logistic regression : a self-learning text /
af: Kleinbaum, David G.
Udgivet: (2002)

Real time dynamic facial recognition of subject at motion using angular image
af: Tasneem, Sharah, et al.
Udgivet: (2024)

To control site-specific skin gene expression, autocrine mimics paracrine canonical Wnt signaling and Is activated ectopically in skin disease
af: Kim, Dongwon, et al.
Udgivet: (2016)

Effectiveness of employee engagement for DHL Worldwide Express Bangladesh Pvt. Ltd.
af: Preema, Tahseen Labeeba
Udgivet: (2019)

What's worth fighting for in the principalship? /
af: Fullan, Michael
Udgivet: (1997)

Report on internship experience at the social communication department of Expressions Ltd.
af: Chowdhury, Peyal
Udgivet: (2024)