Semi-Supervised Subclass Support Vector Data Description for image and video classification

Computer Science

• Subclasses 100%
• Data Description 100%
• Support Vector 100%
• Class Classification 100%
• Supervised Learning 66%
• Classification Problem 66%
• Feature Space 33%
• Process Optimization 33%
• Optimization Problem 33%
• Face Recognition 33%
• Unlabeled Data 33%
• Term Corresponds 33%
• Smoothness Assumption 33%
• Semisupervised Learning 33%
• human action recognition 33%
• Local Neighborhood 33%
• Classification Method 33%
• Class Variance 33%