Feature Extraction based on Canonical Correlation Analysis using FMEDA and DPA for Facial Expression Recognition with RNN

Engineering

• Frequency Coefficient 100%
• Based Feature Extraction 100%
• Facial Expression 100%
• Recurrent Neural Network 100%
• Feature Extraction 50%
• Search Method 50%
• Recognition Rate 50%
• Component Analysis 50%
• Histogram 50%
• Principal Components 50%
• Linear Combination 50%
• Class Scatter Matrix 50%
• Isolation Method 50%
• Image Normalization 50%

Chemical Engineering

• Recurrent Neural Network 100%