A subspace preconditioning algorithm for eigenvector/eigenvalue computation.
James H. BrambleJoseph E. PasciakAndrew V. KnyazevPublished in: Adv. Comput. Math. (1996)
Keyphrases
- learning algorithm
- objective function
- np hard
- k means
- probabilistic model
- eigendecomposition
- detection algorithm
- optimal solution
- dynamic programming
- preprocessing
- least squares
- input data
- expectation maximization
- segmentation algorithm
- similarity measure
- search space
- principal component analysis
- simulated annealing
- convergence rate