Very Simple Classifier: a Concept Binary Classifier toInvestigate Features Based on Subsampling and Localility.
Luca MaseraEnrico BlanzieriPublished in: CoRR (2016)
Keyphrases
- feature set
- feature space
- svm classifier
- binary features
- classification process
- multiple classifiers
- training data
- extracted features
- support vector machine
- class labels
- feature extractors
- decision trees
- classification method
- feature weighting
- feature extraction
- input features
- feature vectors
- neural classifier
- support vector machine classifier
- decision tree classifiers
- training samples
- classification models
- bayes classifier
- complementary features
- naive bayes classifier
- feature values
- train a support vector machine
- bayesian classifier
- feature reduction
- maximum entropy classifier
- feature selection
- weak classifiers
- training examples
- binary classifiers
- classification algorithm
- learning algorithm
- training set
- highest accuracy
- feature extractor
- feature extraction and classification
- decision forest
- learning classifier systems
- linear classifiers
- classification scheme
- improve the recognition accuracy
- ensemble learning
- multi class svm
- low level
- classification accuracy
- lexical features
- image features
- classification rate
- false positives
- classifier ensemble
- error correcting output codes
- feature ranking
- feature selection algorithms
- feature subset
- discriminative classifiers
- weak learners
- single feature