Mackerel Classification Using Global and Local Features.
Yoshito NagaokaTomo MiyazakiYoshihiro SugayaShinichiro OmachiPublished in: ETFA (2018)
Keyphrases
- classification accuracy
- feature vectors
- feature set
- feature extraction
- classification process
- feature space
- classification method
- classification models
- extracted features
- feature analysis
- image classification
- svm classifier
- classification scheme
- high dimensionality
- class labels
- feature values
- benchmark datasets
- discriminative features
- extracting features
- global features
- automatic classification
- feature construction
- gender classification
- correct classification rate
- training set
- pattern classification
- multiple classifiers
- machine learning
- image features
- svm classification
- classification rate
- support vector machine
- global structure
- low level
- feature representation
- decision trees
- discriminating features
- classification algorithm
- machine learning algorithms
- roc curve
- redundant features
- feature extraction and classification
- features extraction
- decision tree classifiers
- feature weights
- textural features
- weak classifiers
- eeg signals
- multiple features
- machine learning approaches
- feature subset
- support vector machine svm
- supervised learning
- pattern recognition
- support vector
- training data
- learning algorithm