Subspace Acceleration for Large-Scale Parameter-Dependent Hermitian Eigenproblems.
Petar SirkovicDaniel KressnerPublished in: SIAM J. Matrix Anal. Appl. (2016)
Keyphrases
- real life
- input parameters
- small scale
- social networks
- multiscale
- subspace learning
- feature space
- high dimensional
- principal component analysis
- dimensionality reduction
- low dimensional
- parameter values
- singular values
- web scale
- real time
- optimal parameters
- lower dimensional
- single parameter
- control parameters
- subspace clustering
- parameter settings
- least squares
- pattern recognition
- feature extraction
- information retrieval
- data mining