Reducing training requirements through evolutionary based dimension reduction and subject transfer.
Adham AtyabiMartin H. LuerssenSean P. FitzgibbonTrent W. LewisDavid M. W. PowersPublished in: Neurocomputing (2017)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- high dimensional
- high dimensional data
- linear discriminant analysis
- low dimensional
- discriminative information
- high dimensional problems
- singular value decomposition
- random projections
- partial least squares
- data mining and machine learning
- manifold learning
- feature space
- variable selection
- training set
- high dimensionality
- cluster analysis
- feature selection
- training samples
- dimensionality reduction
- supervised learning
- evolutionary computation
- real world
- high dimensional data analysis
- unsupervised learning
- data points
- learning process
- preprocessing
- pattern recognition
- similarity measure
- face recognition
- qr decomposition
- dimension reduction methods