Learning Deep Neural Network Based Kernel Functions for Small Sample Size Classification.
Tieran ZhengJiqing HanGuibin ZhengPublished in: ICONIP (1) (2017)
Keyphrases
- small sample size
- kernel function
- kernel learning
- support vector
- supervised learning
- learning algorithm
- machine learning
- sample size
- feature selection
- computer vision
- high dimensionality
- support vector machine svm
- unsupervised learning
- neural network
- learning tasks
- svm classifier
- prior knowledge
- pattern recognition
- face recognition
- support vector machine
- high dimensional
- feature space
- support vectors
- training data
- data sets
- feature set
- training samples
- classification accuracy
- active learning
- linear discriminant analysis
- multiple kernel learning
- high dimensional feature space