Dimensionality reduction using kernel pooled local discriminant information

Keyphrases

• Subspace Methods 100%
• Dimensionality Reduction 100%
• Discriminant Information 100%
• Kernel Principal Component Analysis 66%
• Classification Problem 66%
• Classification Performance 33%
• Discriminant Space 33%
• Local Subspace 33%
• Discriminant Kernel 33%
• Kernel Subspace 33%
• Fisher Discriminant Analysis 33%
• Subspace Representation 33%
• Low-dimensional Representation 33%
• Nearest Neighbor Rule 33%

Computer Science

• Subspace Method 100%
• Dimensionality Reduction 100%
• Classification Problem 66%
• Component Analysis 66%
• Principal Components 66%
• Discriminant Analysis 33%
• Experimental Result 33%
• Classification Performance 33%

Mathematics

• Dimensionality Reduction 100%
• Classification Problem 100%
• Principal Component Analysis 100%
• Nearest Neighbor 50%
• Discriminant Analysis 50%