Very Simple Classifier: a concept binary classifier to investigate features based on subsampling and locality.
Luca MaseraEnrico BlanzieriPublished in: ESANN (2019)
Keyphrases
- feature set
- feature space
- classification process
- svm classifier
- classification method
- feature extractors
- input features
- extracted features
- binary features
- training examples
- classification models
- multiple classifiers
- neural classifier
- complementary features
- support vector
- support vector machine classifier
- binary classifiers
- bayesian classifier
- feature weighting
- feature values
- feature selection
- support vector machine
- feature ranking
- linear classifiers
- decision tree classifiers
- feature subset
- feature extraction
- training data
- class labels
- training samples
- log likelihood ratio
- bayes classifier
- feature extractor
- improve the recognition accuracy
- feature selection algorithms
- classification algorithm
- feature vectors
- training set
- decision trees
- learning classifier systems
- classification rate
- classification scheme
- single feature
- feature extraction and classification
- benchmark datasets
- image features
- active learning
- neural network