A general maximum likelihood framework for modulation classification.
Denys BoiteauChristophe J. Le MartretPublished in: ICASSP (1998)
Keyphrases
- maximum likelihood
- special case
- support vector machine svm
- pattern recognition
- main contribution
- machine learning
- feature extraction
- support vector
- closely related
- text classification
- classification systems
- neural network
- decision trees
- general theory
- risk minimization
- automatic classification
- bayesian framework
- classification algorithm
- video classification
- cross validation
- theoretical framework
- benchmark datasets
- em algorithm
- semi supervised
- support vector machine
- feature vectors
- high dimensional