The Pohlig-Hellman Method Generalized for Group Structure Computation.
Edlyn TeskePublished in: J. Symb. Comput. (1999)
Keyphrases
- cost function
- high accuracy
- synthetic data
- main contribution
- computational complexity
- preprocessing
- detection method
- support vector machine svm
- similarity measure
- high precision
- optimization algorithm
- computationally efficient
- feature set
- classification accuracy
- probabilistic model
- experimental evaluation
- denoising
- support vector machine
- mutual information
- significant improvement
- k means
- clustering method
- high dimensional
- objective function
- matching algorithm
- classification method
- machine learning
- optimization method