Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training sample order
Top Cited Papers
- 1 January 2017
- journal article
- Published by Elsevier BV in Pattern Recognition
- Vol. 61, 610-628
- https://doi.org/10.1016/j.patcog.2016.07.026
Abstract
No abstract availableFunding Information
- Universidade Federal do Espírito Santos – UFES (5911/2015)
- Fundação de Amparo Pesquisa do Espírito Santo – FAPES (65883632/14, 53631242/11)
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – CAPES (60902841/13, 11012/13-7)
- Conselho Nacional de Desenvolvimento Científico e Tecnológico – CNPq (552630/2011-0, 312786/2013-1)
This publication has 62 references indexed in Scilit:
- Fusion of feature sets and classifiers for facial expression recognitionExpert Systems with Applications, 2013
- Facial expression recognition using radial encoding of local Gabor features and classifier synthesisPattern Recognition, 2012
- Feature level analysis for 3D facial expression recognitionNeurocomputing, 2011
- A 0.64 mm$^{2}$ Real-Time Cascade Face Detection Design Based on Reduced Two-Field ExtractionIEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2010
- Facial expression recognition based on Local Binary Patterns: A comprehensive studyImage and Vision Computing, 2009
- Convolutional face finder: a neural architecture for fast and robust face detectionIEEE Transactions on Pattern Analysis and Machine Intelligence, 2004
- Subject independent facial expression recognition with robust face detection using a convolutional neural networkNeural Networks, 2003
- Many-Layered LearningNeural Computation, 2002
- Detection, tracking, and classification of action units in facial expressionRobotics and Autonomous Systems, 2000
- Automatic classification of single facial imagesIEEE Transactions on Pattern Analysis and Machine Intelligence, 1999