LAMA-Net: Unsupervised Domain Adaptation via Latent Alignment and Manifold Learning for RUL Prediction.
Manu JosephVarchita LalwaniPublished in: CoRR (2022)
Keyphrases
- manifold learning
- latent space
- low dimensional
- dimensionality reduction
- semi supervised
- nonlinear dimensionality reduction
- diffusion maps
- subspace learning
- prediction accuracy
- high dimensional
- dimension reduction
- manifold learning algorithm
- high dimensional data
- head pose estimation
- feature extraction
- laplacian eigenmaps
- manifold structure
- latent variables
- dynamic time warping
- machine learning
- geodesic distance
- sparse representation
- principal component analysis
- pattern recognition
- face recognition
- locally linear embedding
- low dimensional manifolds
- learning algorithm
- manifold embedding
- data mining
- discriminant projection