Facial Expression Recognition Using Three-Stage Support Vector Machines

Visual Computing for Industry, Biomedicine, and Art
doi 10.1186/s42492-019-0034-5
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

A Real-Time System for Facial Expression Recognition Using Support Vector Machines and K-Nearest Neighbor Classifier

International Journal of Computer Applications
2017English

Facial Image Feature Extraction Using Support Vector Machines

2006English

Iris Recognition System by Using Support Vector Machines

2008English

Face Behavior Recognition Through Support Vector Machines

International Journal of Advanced Computer Science and Applications
Computer Science
2016English

Shape Classification Algorithm Using Support Vector Machines for Traffic Sign Recognition

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2005English

Sparse Deconvolution Using Support Vector Machines

Eurasip Journal on Advances in Signal Processing
HardwareElectronic EngineeringSignal ProcessingElectricalArchitecture
2008English

Facial Expression Recognition Using Static Facial Images

International Journal of Scientific Research in Computer Science and Engineering
2018English

Feature Vector Generation for the Facial Expression Recognition Using Neo-Fuzzy System

Radio Electronics, Computer Science, Control
2018English

Interval Set Classifiers Using Support Vector Machines

2004English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy