Computer Science – Computer Vision and Pattern Recognition
Scientist
Computer Science
Computer Vision and Pattern Recognition
Scientist
Analysis, Interpretation, and Recognition of Facial Action Units and Expressions Using Neuro-Fuzzy Modeling
Extended Two-Dimensional PCA for Efficient Face Representation and Recognition
Local Component Analysis for Nonparametric Bayes Classifier
Multilinear Biased Discriminant Analysis: A Novel Method for Facial Action Unit Representation
Recognizing Combinations of Facial Action Units with Different Intensity Using a Mixture of Hidden Markov Models and Neural Network
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