Locally Linear Embedding on Grassmann Manifold for Performance Degradation Assessment of Bearings.
Meng MaXuefeng ChenXiaoli ZhangBaoqing DingShibin WangPublished in: IEEE Trans. Reliab. (2017)
Keyphrases
- locally linear embedding
- grassmann manifold
- subspace learning
- dimensionality reduction
- manifold learning
- low dimensional
- stochastic gradient
- high dimensional data
- high dimensional
- dimensional data
- component analysis
- principal component analysis
- linear subspace
- image set
- pattern recognition
- sparse coding
- sparse representation
- semi supervised
- data representation
- dimension reduction
- discriminant analysis
- similarity search
- learning algorithm