Semi-supervised classification based on random subspace dimensionality reduction

Computer Science

• Base Classifier 25%
• Classification 25%
• Classification (Machine Learning) 50%
• Data Distribution 25%
• Dimensionality Reduction 100%
• Experimental Result 25%
• Face Recognition 25%
• Graph Construction 25%
• High Dimensional Data 25%
• Input Parameter 25%
• Recognition Performance 25%
• Semisupervised Learning 75%
• Supervised Classification 50%
• Traditional Method 25%
• Underlying Data 25%