A minimax framework for classification with applications to images and high dimensional data

Keyphrases

• Minimax 100%
• High-dimensional Data 100%
• Nonlinearity 33%
• Regression Model 33%
• Classification Methods 33%
• Information-centric 33%
• Support Vector Machine 33%
• Gene Expression 33%
• Class-specific 33%
• Input Space 33%
• Classification Framework 33%
• Categorical Data 33%
• Estimation Model 33%
• Multi-class Classification 33%
• Least Absolute Shrinkage and Selection Operator (LASSO) 33%
• Elastic Net Regression 33%
• Fitting Error 33%
• Multiplicative Distortion 33%
• Art Classification 33%
• Signal-dependent 33%
• Kernel Technique 33%
• Ridge Regression 33%
• Representation Model 33%
• Data Verify 33%
• Optimal Decision Rule 33%

Computer Science

• High Dimensional Data 100%
• Experimental Result 50%
• Support Vector Machine 50%
• Classification Method 50%
• Classification Framework 50%
• Multiclass Classification 50%
• Representation Model 50%
• Ridge Regression 50%