An Improved Locally Linear Embedding for Sparse Data Sets.
Ying WenLianghua HePublished in: Int. J. Pattern Recognit. Artif. Intell. (2011)
Keyphrases
- locally linear embedding
- data sets
- high dimensional
- high dimensional data
- dimensional data
- dimensionality reduction
- nonlinear dimensionality reduction
- low dimensional
- underlying manifold
- manifold learning
- sparse representation
- dimensionality reduction methods
- high dimensional data sets
- laplacian eigenmaps
- multi dimensional
- principal component analysis
- sparse coding
- nearest neighbor
- subspace learning
- similarity search
- principal components analysis
- random projections
- data points
- training data
- neural network
- original data
- shortest path
- knn
- image processing