Instance-Based Learning Algorithms
Machine Learning
Recognizing Facial Expressions in Image Sequences Using Local Parameterized Models of Image Motion
International Journal of Computer Vision
Feature subset selection by Bayesian network-based optimization
Artificial Intelligence
Recognizing Action Units for Facial Expression Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Toward Machine Emotional Intelligence: Analysis of Affective Physiological State
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Feature Selection for Knowledge Discovery and Data Mining
Feature Selection for Knowledge Discovery and Data Mining
Applied Intelligence
From Recombination of Genes to the Estimation of Distributions I. Binary Parameters
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Feature Selection for Machine Learning: Comparing a Correlation-Based Filter Approach to the Wrapper
Proceedings of the Twelfth International Florida Artificial Intelligence Research Society Conference
Comprehensive Database for Facial Expression Analysis
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Active and Dynamic Information Fusion for Facial Expression Understanding from Image Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Real-Time Facial Expression Recognition using the STAAM
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Expression recognition using fuzzy spatio-temporal modeling
Pattern Recognition
Inferring facial expressions from videos: Tool and application
Image Communication
A Branch and Bound Algorithm for Feature Subset Selection
IEEE Transactions on Computers
Information Retrieval for Music and Motion
Information Retrieval for Music and Motion
Dynamics of facial expression extracted automatically from video
Image and Vision Computing
Recognition of facial expressions and measurement of levels of interest from video
IEEE Transactions on Multimedia
On Appearance Based Face and Facial Action Tracking
IEEE Transactions on Circuits and Systems for Video Technology
Facial movement based recognition
MIRAGE'11 Proceedings of the 5th international conference on Computer vision/computer graphics collaboration techniques
A reduct derived from feature selection
Pattern Recognition Letters
Framework for reliable, real-time facial expression recognition for low resolution images
Pattern Recognition Letters
Shape classification by manifold learning in multiple observation spaces
Information Sciences: an International Journal
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This paper addresses the dynamic recognition of basic facial expressions in videos using feature subset selection. Feature selection has been already used by some static classifiers where the facial expression is recognized from one single image. Past work on dynamic facial expression recognition has emphasized the issues of feature extraction and classification, however, less attention has been given to the critical issue of feature selection in the dynamic scenario. The main contributions of the paper are as follows. First, we show that dynamic facial expression recognition can be casted into a classical classification problem. Second, we combine a facial dynamics extractor algorithm with a feature selection scheme for generic classifiers. We show that the paradigm of feature subset selection with a wrapper technique can improve the dynamic recognition of facial expressions. We provide evaluations of performance on real video sequences using five standard machine learning approaches: Support Vector Machines, K Nearest Neighbor, Naive Bayes, Bayesian Networks, and Classification Trees.