Using Hessian Locally Linear Embedding for Autonomic Failure Prediction.
Xu LuHuiqiang WangRenjie ZhouBaoyu GePublished in: NaBIC (2009)
Keyphrases
- failure prediction
- locally linear embedding
- dimensionality reduction
- manifold learning
- low dimensional
- high dimensional data
- nonlinear dimensionality reduction
- high dimensional
- dimensional data
- laplacian eigenmaps
- principal components analysis
- civil engineering
- principal component analysis
- triangular mesh
- data points
- multi dimensional
- dimensionality reduction methods
- neural network
- sparse representation
- tool wear
- feature extraction