The fisher-markov selector: Fast selecting maximally separable feature subset for multiclass classification with applications to high-dimensional data

Computer Science

• High Dimensional Data 100%
• Multiclass Classification 100%
• Objective Function 100%
• Pattern Recognition 66%
• Optimization Technique 33%
• Sparsity 33%
• Optimisation Objective 33%
• Feature Selection 33%
• Gene Expression Data Set 33%
• handwritten digit 33%
• Experimental Result 33%
• Learning System 33%
• Machine Learning 33%
• Feature Extraction 33%
• Model Selection 33%

Mathematics

• Objective Function 100%
• Dimensional Data 100%
• Global Optimum 66%
• Pattern Recognition 66%
• Real-World Data 33%
• Model Selection 33%
• Outlier 33%
• Markov Random Fields 33%
• Local Optimum 33%
• Explicit Expression 33%