Integrating Laplacian Eigenmaps Feature Space Conversion into Deep Neural Network for Equipment Condition Assessment.
Sheng GuoYafei SunFengzhi WuYuhong LiPublished in: Autom. Control. Comput. Sci. (2018)
Keyphrases
- laplacian eigenmaps
- kernel pca
- feature space
- neural network
- manifold learning
- dimensionality reduction
- low dimensional
- nonlinear dimensionality reduction
- kernel methods
- high dimensional
- principal component analysis
- input space
- kernel function
- dimension reduction
- latent space
- pattern recognition
- locally linear embedding
- feature vectors
- spectral clustering
- high dimensionality
- support vector machine
- kernel matrix
- high dimensional data
- input data
- feature extraction
- feature selection
- linear discriminant analysis
- mean shift
- classification accuracy
- image representation
- semi supervised
- metric learning
- dynamic time warping
- data points
- riemannian manifolds
- dimensionality reduction methods
- face recognition
- learning algorithm