Keyphrases
Intrinsic Dimension
100%
Quadratic Discriminant Analysis
64%
Machine Learning
40%
Conditional Error
40%
Mahalanobis Metric Learning
40%
Bhattacharyya
40%
Bayes Error
40%
Quadratic Discriminant
40%
Dimensionality Reduction
40%
Effective Dimension
40%
Error Bound
40%
Discriminant Classification
40%
Rank Metric
40%
Low-rank
40%
High Dimension
27%
Numerical Experiments
27%
Distance-based Learning Algorithms
20%
High-dimensional Setting
20%
Rank Constraint
20%
Mahalanobis Metric
20%
Random Projection
20%
Concentration of Measure
20%
Feature Space
20%
Learning Objectives
20%
Parameter Estimation
20%
High-dimensional Data
20%
Data Sampling
20%
Reduced Features
20%
Input Space
20%
Bounded Support
20%
Maximum Likelihood Estimation
20%
Distance Metric
20%
Metric Learning
20%
Full Rank
20%
Geometrical Structure
20%
Covariance Structure
16%
Out-of-sample Error
10%
Bhattacharyya Bound
10%
Decision Function
10%
Finite Sample
10%
Sample Maximum
10%
Error Estimates
10%
Chernoff Bound
10%
Analysis Decision
10%
Unnatural
10%
Quadratic Classifier
8%
Sensing Type
8%
Nuclear Norm Minimization
8%
Performance Prediction
8%
Linear Dimensionality Reduction
8%
Mathematics
Discriminant Analysis
64%
Dimensionality Reduction
48%
Numerical Experiment
48%
Feature Space
40%
Dimensional Data
40%
Effective Dimension
40%
Sampling Data
40%
Error Bound
40%
Conditionals
40%
Maximum Likelihood
20%
Parameter Estimate
20%
Upper Bound
18%
Covariance Structure
16%
Regularization
16%
True Parameter
10%
Good Agreement
10%
Decision Function
10%
Predictive Performance
8%
Covariance
8%
