Matrix-based vs. vector-based linear discriminant analysis: A comparison of regularized variants on multivariate time series data.
Jianhua ZhaoHaiye LiangShulan LiZhiji YangZhen WangPublished in: Inf. Sci. (2024)
Keyphrases
- linear discriminant analysis
- null space
- multivariate time series data
- small sample size
- discriminant analysis
- qr decomposition
- principal component analysis
- face recognition
- dimensionality reduction
- dimension reduction
- multivariate time series
- support vector machine svm
- feature extraction
- support vector
- high dimensional data
- feature space
- singular value decomposition
- scatter matrices
- projection matrix
- image processing
- microarray data
- temporal data
- autoregressive
- low rank
- high dimensional
- independent component analysis
- sample size
- least squares