A classification and quantification approach to generate features in soundscape ecology using neural networks.
Fábio Felix DiasMoacir Antonelli PontiRosane MinghimPublished in: Neural Comput. Appl. (2022)
Keyphrases
- neural network
- classification accuracy
- feature extraction
- classification method
- classification models
- feature vectors
- feature set
- pattern recognition
- classification process
- feature space
- extracting features
- svm classifier
- feature representation
- pattern classification
- extracted features
- automatic classification
- feature analysis
- low level
- pattern classification problems
- feature extraction and classification
- high dimensionality
- support vector
- gender classification
- class labels
- feature construction
- decision trees
- feature selection algorithms
- machine learning
- features extraction
- feature weights
- decision tree classifiers
- neural networks and support vector machines
- benchmark datasets
- supervised learning
- co occurrence
- text classification
- image classification
- support vector machine
- face recognition
- image features
- category labels
- multi class
- feature reduction
- textural features
- artificial neural networks
- training samples
- support vector machine svm
- svm classification
- feature values
- feature selection
- data sets
- classification algorithm