Optimal graph learning with partial tags and multiple features for image and video annotation

Computer Science

• Annotation 100%
• Supervised Learning 66%
• Multimedia 33%
• Similarity Graph 33%
• Objective Function 33%
• Training Data 33%
• Mean Average Precision 33%
• Learning Algorithm 33%
• Time Constraint 33%
• Regularization Term 33%
• Graph Construction 33%
• Single Feature 33%
• Training Data Point 33%