A MCSCF method for ground and excited states based on full optimizations of successive Jacobi rotations.
Joseph IvanicKlaus RuedenbergPublished in: J. Comput. Chem. (2003)
Keyphrases
- experimental evaluation
- clustering method
- cost function
- fully automatic
- detection method
- similarity measure
- neural network
- synthetic data
- high accuracy
- support vector machine
- pairwise
- decision trees
- significant improvement
- computational cost
- multiscale
- computationally efficient
- support vector machine svm
- image segmentation
- computer vision
- segmentation method
- classification method
- high precision
- data sets
- convergence rate