WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis.
Yiye ChenYunzhi LinRuinian XuPatricio A. VelaPublished in: ICCV (2023)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- principal component analysis
- face recognition
- dimensionality reduction
- feature extraction
- discriminant features
- dimension reduction
- support vector
- null space
- small sample size
- feature space
- principal components analysis
- linear discriminant
- subspace methods
- class separability
- support vector machine svm
- multivariate statistical
- dealing with high dimensional data
- high dimensional data
- detection method
- subspace analysis
- discriminative information
- computer vision
- fisher criterion
- object detection
- machine learning
- high dimensionality
- anomaly detection
- high dimensional
- discriminant information
- qr decomposition
- pattern recognition