Joint low-rank approximation for extracting non-Gaussian subspaces.
Motoaki KawanabeFabian J. TheisPublished in: Signal Process. (2007)
Keyphrases
- low rank approximation
- high dimensional data
- low rank
- low rank matrix approximation
- singular value decomposition
- subspace learning
- kernel matrix
- matrix completion
- principal component analysis
- spectral clustering
- high dimensional
- low dimensional
- adjacency matrix
- least squares
- dimensionality reduction
- latent semantic indexing
- nearest neighbor
- iterative algorithms
- data dependent
- reconstruction error
- nonnegative matrix factorization
- pattern recognition
- machine learning
- feature space
- objective function
- signal processing
- feature extraction