Expression recognition using fuzzy spatio-temporal modeling
Pattern Recognition
A survey of affect recognition methods: audio, visual and spontaneous expressions
Proceedings of the 9th international conference on Multimodal interfaces
Liknon Feature Selection for Microarrays
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
A decision-boundary-oriented feature selection method and its application to face recognition
Pattern Recognition Letters
Image ratio features for facial expression recognition application
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II
Video event retrieval from a small number of examples using rough set theory
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Computer Vision and Image Understanding
Facial expression recognition based on boostingtree
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Comparison of novel dimension reduction methods in face verification
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
Relevance feedback for sketch retrieval based on linear programming classification
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Event retrieval in video archives using rough set theory and partially supervised learning
Multimedia Tools and Applications
Ambient Intelligence in Everyday Life
Comparing and combining spatial dimension reduction methods in face verification
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Object categorization with sketch representation and generalized samples
Pattern Recognition
Perceptual relativity-based local hyperplane classification
Neurocomputing
Tensor rank one differential graph preserving analysis for facial expression recognition
Image and Vision Computing
Automatic Facial Expression Recognition by Facial Parts Location with Boosted-LBP
International Journal of Computer Vision and Image Processing
A dynamic approach for detecting naturalistic affective states from facial videos during HCI
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Image and Vision Computing
Bee royalty offspring algorithm for improvement of facial expressions classification model
International Journal of Bio-Inspired Computation
Proceedings of the 2013 on Emotion recognition in the wild challenge and workshop
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Example-based learning for computer vision can be difficult when a large number of examples to represent each pattern or object class is not available. In such situations, learning from a small number of samples is of practical value. To study this issue, the task of face expression recognition with a small number of training images of each expression is considered. A new technique based on linear programming for both feature selection and classifier training is introduced. A pairwise framework for feature selection, instead of using all classes simultaneously, is presented. Experimental results compare the method with three others: a simplified Bayes classifier, support vector machine, and AdaBoost. Finally, each algorithm is analyzed and a new categorization of these algorithms is given, especially for learning from examples in the small sample case.