Feature Extraction Based on Bio-Inspired Model for Robust Emotion Recognition

Soft Computing- Germany

doi 10.1007/s00500-016-2110-5

Full Text

Abstract

Available in

Categories

Theoretical Computer Science

Date

March 21, 2016

Authors

Enrique M. Albornoz

Diego H. Milone

Hugo L. Rufiner

Publisher

Springer Science and Business Media LLC

Related search

Feature Selection for Emotion Recognition Based on Random Forest

English

A Robust Method for Speech Emotion Recognition Based on Infinite Student’st-Mixture Model

Mathematical Problems in Engineering

English

Multi-Feature Based Emotion Recognition for Video Clips

English

CorrFeat: Correlation-Based Feature Extraction Algorithm Using Skin Conductance and Pupil Diameter for Emotion Recognition

English

Invariant Feature Extraction for Component-Based Facial Recognition

International Journal of Advanced Computer Science and Applications

Computer Science

English

DWT and DCT Based Robust Iris Feature Extraction and Recognition Algorithm for Biometric Personal Identification

International Journal of Computer Applications

English

Convolutional Neural Network Based Feature Extraction for IRIS Recognition

International Journal of Computer Science and Information Technology

English

Neural Feature Extraction for Contextual Emotion Detection

French

Acoustic Features Extraction for Emotion Recognition

English