A novel locally linear KNN model for visual recognition

Keyphrases

• Visual Recognition 100%
• NK Model 100%
• Locally Linear 100%
• Nearest Mean Classifier 40%
• Bayes Rule 40%
• Kernel Density Estimation 40%
• Popular 20%
• Linear Combination 20%
• Representation Method 20%
• Face Recognition 20%
• Efficient Representation 20%
• Locality Constraint 20%
• Cutoff Phenomenon 20%
• Efficient Classification 20%
• Classification Rules 20%
• Object Recognition 20%
• Power Transformation 20%
• Recognition Task 20%
• Sparsity Constraint 20%
• Scene Recognition 20%
• Minimum Error 20%
• Shift Power 20%
• Classification Methods 20%
• Group Effect 20%
• Recognition Scene 20%
• KNN Classifier 20%
• Action Recognition 20%
• Training Samples 20%
• Nearest Neighbor 20%

Computer Science

• k-Nearest Neighbors Algorithm 100%
• Bayes Decision Rule 40%
• Sparsity 20%
• Experimental Result 20%
• Linear Combination 20%
• Representation Method 20%
• Face Recognition 20%
• Classification Rule 20%
• Training Sample 20%
• Efficient Representation 20%
• Object Recognition 20%
• Action Recognition 20%
• Power Transformation 20%
• Classification Method 20%