OSLNet: Deep Small-Sample Classification With an Orthogonal Softmax Layer.
Xiaoxu LiDongliang ChangZhanyu MaZheng-Hua TanJing-Hao XueJie CaoJingyi YuJun GuoPublished in: IEEE Trans. Image Process. (2020)
Keyphrases
- small sample
- support vector machine
- classification accuracy
- feature selection
- sample size
- pattern recognition
- high dimensional
- high dimensionality
- image classification
- decision trees
- feature selection algorithms
- ls svm
- support vector
- feature extraction
- supervised learning
- support vector machine svm
- classification models
- data sets