Fast image super-resolution via Randomized Multi-split Forests

Keyphrases

• Image Super-resolution 100%
• Multi-split 100%
• Decision Tree 66%
• Linear Regression Model 33%
• Computation Time 33%
• Training Data 33%
• Linear Subspace 33%
• Classification Results 33%
• Splitting Function 33%
• Super-resolution 33%
• Generalization Ability 33%
• Full Use 33%
• Learning-based 33%
• Test Functions 33%
• Leaf Nodes 33%
• Accurate Classification 33%
• Reduced Computation 33%
• Random Forest 33%
• Feature Information 33%
• Forest Model 33%
• Binary Hypothesis Testing 33%
• Patch Manifold 33%

Computer Science

• super resolution 100%
• Decision Tree 50%
• Generalization Ability 25%
• Random Decision Forest 25%
• Resolution Performance 25%
• Feature Information 25%
• Training Patch 25%
• classification result 25%
• Training Data 25%
• Experimental Result 25%
• Computation Time 25%
• Linear Subspace 25%