A general maximum likelihood classifier for modulation classification.
Christophe J. Le MartretDenys BoiteauPublished in: EUSIPCO (1998)
Keyphrases
- maximum likelihood
- classification method
- classification process
- classification scheme
- classification algorithm
- class labels
- probabilistic classifiers
- classification models
- supervised classification
- decision trees
- feature space
- support vector
- high classification accuracy
- classification rate
- training set
- robust classification
- svm classifier
- support vector machine
- nearest neighbor classifier
- final classification
- feature set
- rule based classifier
- pattern classification
- learning vector quantization
- classification schemes
- feature selection
- accurate classification
- training samples
- multiple classifiers
- feature extraction and classification
- multi category
- bayesian classifier
- feature extraction
- hierarchical classification
- binary classifiers
- classifier combination
- multi class classifier
- accurate classifiers
- k nearest neighbour
- decision boundary
- classification accuracy
- supervised learning
- expectation maximization
- feature reduction
- machine learning
- pattern recognition
- optimum path forest
- feature vectors
- associative classifiers
- text classification
- naive bayes classifier
- pixel classification
- extracted features
- multi layer perceptron
- nearest neighbour
- learning algorithm
- fuzzy support vector machine
- training data
- fold cross validation
- classifier ensemble
- higher classification accuracy
- nearest neighbor rule
- multiclass classification
- multiple classifier systems
- naive bayes
- image classification
- decision tree classifiers
- support vector machine svm
- model selection
- em algorithm