Short-Term Recurrence Krylov Subspace Methods for Nearly Hermitian Matrices.
Mark EmbreeJosef A. SifuentesKirk M. SoodhalterDaniel B. SzyldFei XuePublished in: SIAM J. Matrix Anal. Appl. (2012)
Keyphrases
- short term
- subspace methods
- long term
- singular values
- singular value decomposition
- principal component analysis
- linear discriminant analysis
- face recognition
- ensemble methods
- short term and long term
- load forecasting
- blind source separation
- short and long term
- long term memory
- lower dimensional
- medium term
- genetic algorithm
- face databases
- forecasting model
- wind speed
- support vector machine
- original data
- benchmark datasets
- prediction accuracy
- high dimensional data
- dimensionality reduction
- feature extraction
- data sets