A Textural Deep Neural Network Combined With Handcrafted Features for Mechanical Failure Classification.
Maria-Ximena Bastidas-RodríguezFlavio Augusto Prieto OrtízLuisa F. PolaníaPublished in: ICIT (2019)
Keyphrases
- feature set
- neural network
- feature extraction
- classification accuracy
- rotational invariant
- feature space
- classification method
- feature vectors
- pattern recognition
- classification process
- textural features
- classification models
- extracted features
- extracting features
- irrelevant features
- image features
- learning vector quantization
- high dimensionality
- class labels
- feature selection
- benchmark datasets
- classification scheme
- feature values
- feature extraction and classification
- features extraction
- neural network model
- decision trees
- training set
- image classification
- texture analysis
- classification algorithm
- eeg signals
- multi layer perceptron
- artificial neural networks
- co occurrence
- bayesian classifier
- low level
- genetic algorithm
- feature weights
- probabilistic neural network
- support vector machine
- supervised learning
- deep learning
- feature analysis
- structural features
- feature representation
- support vector machine svm
- svm classifier
- feature selection algorithms
- gabor filters