Robust Hessian Locally Linear Embedding Techniques for High-Dimensional Data.
Xianglei XingSidan DuKejun WangPublished in: Algorithms (2016)
Keyphrases
- high dimensional data
- locally linear embedding
- nonlinear dimensionality reduction
- dimensionality reduction
- low dimensional
- high dimensional
- nearest neighbor
- manifold learning
- high dimensionality
- data sets
- dimensional data
- laplacian eigenmaps
- data points
- similarity search
- data distribution
- dimension reduction
- data analysis
- linear discriminant analysis
- high dimensional spaces
- low rank
- high dimensional data sets
- sparse representation
- diffusion maps
- low dimensional structure
- input space
- multi dimensional
- computer vision
- distance function
- knn
- pairwise
- learning algorithm