A subspace preconditioning algorithm for eigenvector/eigenvalue computation.

James H. Bramble Joseph E. Pasciak Andrew V. Knyazev

Published 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