Dimension Reduction for Hypothesis Testing in Worst-Case Scenarios.
Raja Fazliza Raja SuleimanDavid MaryAndré FerrariPublished in: IEEE Trans. Signal Process. (2014)
Keyphrases
- dimension reduction
- hypothesis testing
- worst case
- likelihood ratio
- principal component analysis
- feature extraction
- high dimensional
- linear discriminant analysis
- singular value decomposition
- statistical tests
- high dimensional data
- low dimensional
- upper bound
- feature space
- feature selection
- test statistic
- dimensionality reduction
- lower bound
- high dimensionality
- unsupervised learning
- preprocessing
- np hard
- support vector
- real world
- hypothesis tests
- sample size
- image processing
- computer vision
- machine learning