Improving the Architecture of an Autoencoder for Dimension Reduction.
Changjie HuXiaoli HouYonggang LuPublished in: UIC/ATC/ScalCom (2014)
Keyphrases
- dimension reduction
- principal component analysis
- high dimensional
- feature extraction
- high dimensional problems
- linear discriminant analysis
- manifold learning
- low dimensional
- cluster analysis
- data mining and machine learning
- feature selection
- variable selection
- random projections
- discriminative information
- singular value decomposition
- high dimensionality
- high dimensional data analysis
- unsupervised learning
- feature space
- dimensionality reduction
- high dimensional data
- partial least squares
- face recognition
- decision trees
- nearest neighbor
- semi supervised
- image processing
- dimension reduction methods
- computer vision