Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images.
Shiran ZadaItay BenouMichal IraniPublished in: CoRR (2021)
Keyphrases
- random noise
- image data
- low signal to noise ratio
- data sets
- image classification
- input data
- noisy data
- training data
- training and testing data
- data points
- gaussian noise
- labelled data
- image analysis
- image database
- decision trees
- extracted features
- skin lesion
- original data
- feature set
- missing data
- training examples
- text classification
- medical images
- supervised learning
- image features
- color images
- image retrieval
- feature extraction
- face recognition
- feature selection
- machine learning