A Fusion of Neural Network Based Auto-associator and Classifier for the Classification of Microcalcification Patterns.
Rinku PanchalBrijesh K. VermaPublished in: ICONIP (2004)
Keyphrases
- classification method
- classification scheme
- classifier combination
- classification process
- feature space
- support vector
- classification algorithm
- classifier fusion
- class labels
- decision trees
- classification rate
- jumping emerging patterns
- learning vector quantization
- training samples
- training set
- nearest neighbor classifier
- classification models
- breast cancer diagnosis
- feature set
- pattern recognition
- decision fusion
- svm classifier
- classification accuracy
- neural network
- multiple classifier systems
- support vector machine
- final classification
- lung disease
- decision boundary
- bayesian classifier
- high classification accuracy
- higher classification accuracy
- multi category
- extracted features
- multiple classifiers
- feature selection
- feature extraction
- text classification
- emerging patterns
- decision tree classifiers
- learning phase
- support vector machine svm
- multiclass classification
- text classifiers
- pixel classification
- probabilistic classifiers
- weak classifiers
- majority voting
- classifier ensemble
- ensemble classifier
- binary classifiers
- pattern classification
- data fusion
- supervised learning
- feature vectors
- training data
- learning algorithm