Constraining deep representations with a noise module for fair classification.
Mattia CerratoRoberto EspositoLaura Li PumaPublished in: SAC (2020)
Keyphrases
- pattern recognition
- machine learning
- feature extraction
- pattern classification
- preprocessing
- image classification
- classification accuracy
- multiscale
- feature vectors
- feature selection
- text classification
- classification rules
- machine learning methods
- classification method
- noise level
- classification models
- classification process
- classification scheme
- support vector machine svm
- support vector
- decision trees
- benchmark datasets
- missing data
- decision rules
- training samples
- model selection
- noisy data
- signal to noise ratio
- feature space
- noise reduction
- object recognition
- classification systems
- gaussian noise
- data sets