A comparison of hierarchical multi-output recognition approaches for anuran classification.
Juan Gabriel ColonnaJoão GamaEduardo Freire NakamuraPublished in: Mach. Learn. (2018)
Keyphrases
- automatic recognition
- feature extraction
- pattern recognition
- object classification
- machine learning
- decision trees
- correct recognition
- object recognition
- classification accuracy
- hierarchical classification
- machine learning algorithms
- classification systems
- handwritten digits
- machine learning approaches
- high recognition rate
- classification scheme
- recognition accuracy
- unsupervised learning
- training set
- support vector machine
- recognition rate
- low error rates
- feature selection
- confidence scores
- feature vectors
- image classification
- training samples
- classification method
- classification algorithm
- neural network
- support vector machine svm
- model selection
- neural networks and support vector machines
- robust classification
- robust detection
- text categorization
- preprocessing
- multiple classifier systems
- feature space
- machine learning methods
- recognition process
- high dimensional
- hierarchical structure
- pattern classification
- text classification