Incremental multi-linear discriminant analysis using canonical correlations for action recognition

Computer Science

• Action Recognition 100%
• Linear Discriminant Analysis 100%
• Correlation Analysis 100%
• Dimensionality Problem 66%
• Feature Extraction 66%
• Time Complexity 33%
• Underlying Data 33%
• Online Learning 33%
• Data Structure 33%
• Vectorization 33%
• Dimensionality Reduction 33%
• Classification Action 33%
• Linear Discriminant 33%
• Nearest Neighbors Classifier 33%
• Temporal Information 33%
• Linear Subspace 33%
• Spatial Structure 33%

INIS

• correlations 100%
• tensors 75%
• images 50%
• extraction 50%
• data 25%
• information 25%
• dimensions 25%
• reduction 25%
• learning 25%
• classification 25%
• accuracy 25%
• vectors 25%
• optimization 25%

Engineering

• Dimensionality 100%
• Feature Extraction 66%
• Temporal Information 33%
• Optimization Approach 33%
• Nearest Neighbor 33%
• Spatial Structure 33%
• State-of-the-Art Method 33%
• Partial Occlusion 33%
• Neighbor Classifier 33%