Balanced Mini-Batch Training for Imbalanced Image Data Classification with Neural Network.
Ryota ShimizuKosuke AsakoHiroki OjimaShohei MorinagaMototsugu HamadaTadahiro KurodaPublished in: AI4I (2018)
Keyphrases
- neural network
- image data
- multi layer perceptron
- training process
- learning vector quantization
- training set
- pattern recognition
- training patterns
- training phase
- training samples
- training algorithm
- supervised learning
- classification algorithm
- train a neural network
- class imbalance
- image classification
- feed forward neural networks
- feedforward neural networks
- pattern classification
- decision trees
- feature vectors
- machine learning
- imbalanced datasets
- artificial neural networks
- classification accuracy
- image quality
- neural network training
- highly skewed
- model selection
- incremental learning
- support vector machine svm
- feed forward
- class imbalanced
- back propagation
- support vector
- classification performances
- imbalanced data sets
- recurrent networks
- active learning
- batch mode
- imbalanced data
- test set
- training dataset
- text classification
- generalization ability
- classification models
- neural network model
- class labels