Multivariate Functional Linear Discriminant Analysis for the Classification of Short Time Series with Missing Data.
Rahul BordoloiClémence RédaOrell TrautmannSaptarshi BejOlaf WolkenhauerPublished in: CoRR (2024)
Keyphrases
- missing data
- linear discriminant analysis
- support vector machine svm
- feature extraction
- discriminant features
- dimension reduction
- small sample size
- discriminant analysis
- support vector
- multiple imputation
- class separability
- discriminative information
- multivariate statistical
- dimensionality reduction
- feature space
- missing values
- face recognition
- fisher criterion
- principal component analysis
- high dimensional data
- incomplete data
- pattern recognition
- low rank
- support vector machine
- feature vectors
- high dimensionality
- null space
- matrix factorization
- image classification
- unsupervised learning
- text classification
- training set
- feature selection
- machine learning
- k nearest neighbour
- training data
- decision trees
- low dimensional
- database