Integrating joint feature selection into subspace learning: A formulation of 2DPCA for outliers robust feature selection.
Imran RazzakRaghib M. Abu-SarisMichael BlumensteinGuandong XuPublished in: Neural Networks (2020)
Keyphrases
- feature selection
- dimensionality reduction
- subspace learning
- principal component analysis
- data representation
- feature space
- face recognition
- feature extraction
- high dimensionality
- text classification
- high dimensional
- machine learning
- data points
- robust face recognition
- higher order
- low dimensional
- neural network
- manifold learning
- unsupervised learning
- subspace learning algorithm
- computer vision
- support vector
- covariance matrix
- high dimensional data
- small number
- model selection
- data analysis
- support vector machine
- denoising