Heterogeneous image features integration via multi-modal semi-supervised learning model

Computer Science

• image feature 100%
• Semisupervised Learning 100%
• Supervised Classification 100%
• Visual Feature 50%
• Training Data 50%
• Indicator Matrix 50%
• Prediction Performance 50%
• Visual Characteristic 50%
• Classification Problem 50%
• Unlabeled Data 50%
• Classification Algorithm 50%
• Multi Class Classification 50%
• Multiclass Classification 50%
• Image Database 50%
• Unsegmented Image 50%