Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction.
Xinwei JiangXin SongJunbin GaoZhihua CaiDongmei ZhangPublished in: IJCNN (2016)
Keyphrases
- dimensionality reduction
- feature extraction
- high dimensional data
- pattern recognition
- pattern recognition and machine learning
- data representation
- high dimensional
- principal component analysis
- low dimensional
- feature space
- expectation propagation
- approximation error
- random projections
- error bounds
- approximation algorithms
- structure preserving
- linear dimensionality reduction
- high dimensionality
- manifold learning
- closed form
- feature selection
- data points
- input space
- principal components
- neural network
- queueing networks
- linear discriminant analysis
- data analysis