Using a Recurrent Kernel Learning Machine for Small-Sample Image Classification.
Mihael CudicJosé C. PríncipePublished in: IJCNN (2019)
Keyphrases
- small sample
- learning machines
- image classification
- support vector
- support vector machine
- kernel function
- kernel methods
- sample size
- model selection
- feature selection
- ls svm
- svm classifier
- feature space
- vc dimension
- training algorithm
- image features
- feature extraction
- ensemble learning
- generalization error
- support vector machine svm
- pattern recognition
- generalization ability
- learning problems
- learning tasks
- multi label
- loss function
- learning algorithm
- cross validation
- classification accuracy
- hyperparameters
- feature selection algorithms
- prediction accuracy
- neural network
- machine learning algorithms
- unlabeled data
- high dimensional
- machine learning