Model selection for partial least squares based dimension reduction.
Guo-Zheng LiRui-Wei ZhaoHai-Ni QuMingyu YouPublished in: Pattern Recognit. Lett. (2012)
Keyphrases
- model selection
- dimension reduction
- partial least squares
- feature selection
- unsupervised learning
- cross validation
- principal component analysis
- hyperparameters
- sample size
- feature extraction
- high dimensional
- parameter estimation
- linear discriminant analysis
- variable selection
- high dimensional data
- machine learning
- low dimensional
- feature space
- regression model
- singular value decomposition
- high dimensionality
- cluster analysis
- preprocessing
- image segmentation
- dimensionality reduction
- face recognition
- image sequences
- semi supervised
- support vector machine
- optical flow
- pairwise
- discriminant analysis