Locally linear embedding with additive noise.
Justin WangRaymond K. W. WongThomas C. M. LeePublished in: Pattern Recognit. Lett. (2019)
Keyphrases
- additive noise
- locally linear embedding
- dimensionality reduction
- manifold learning
- high dimensional
- low dimensional
- noisy images
- high dimensional data
- spatial domain
- maximum likelihood
- dimensional data
- random variables
- principal components analysis
- principal component analysis
- dimensionality reduction methods
- subspace learning
- speech signal
- feature selection
- triangular mesh
- geodesic distance
- image denoising
- multi dimensional
- nearest neighbor
- higher order
- feature extraction
- feature space
- frequency domain
- three dimensional
- data sets
- semi supervised
- denoising