Maximal Linear Embedding for Dimensionality Reduction.
Ruiping WangShiguang ShanXilin ChenJie ChenWen GaoPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2011)
Keyphrases
- dimensionality reduction
- nonlinear dimensionality reduction
- structure preserving
- graph embedding
- locality preserving projections
- data representation
- principal component analysis
- low dimensional
- multidimensional scaling
- high dimensional
- high dimensionality
- embedding space
- low dimensional spaces
- feature extraction
- principal components
- manifold learning
- linear discriminant analysis
- high dimensional data
- linear dimensionality reduction
- pattern recognition and machine learning
- latent space
- linear model
- subspace learning
- linear systems
- feature space
- dimensionality reduction methods
- lower dimensional
- feature selection
- input space
- laplacian eigenmaps
- dimension reduction
- knn
- multiscale
- neighborhood preserving