An improved locally linear embedding for sparse data sets.
Ying WenZhenyu ZhouXunheng WangYudong ZhangRenhua WuPublished in: ICIP (2010)
Keyphrases
- locally linear embedding
- data sets
- high dimensional data
- high dimensional
- dimensional data
- dimensionality reduction
- manifold learning
- nonlinear dimensionality reduction
- low dimensional
- underlying manifold
- sparse representation
- laplacian eigenmaps
- dimensionality reduction methods
- high dimensional data sets
- nearest neighbor
- multi dimensional
- training data
- dimension reduction
- principal component analysis
- sparse coding
- pattern recognition
- feature extraction
- image processing
- triangular mesh
- random projections
- similarity search
- principal components analysis
- subspace learning
- linear discriminant analysis
- image classification
- data points
- training set
- data mining
- neural network