OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer.
Xiaoxu LiDongliang ChangZhanyu MaZheng-Hua TanJing-Hao XueJie CaoJingyi YuJun GuoPublished in: CoRR (2020)
Keyphrases
- small sample
- support vector machine
- sample size
- high dimensionality
- feature selection
- data sets
- decision trees
- high dimensional
- classification accuracy
- pattern recognition
- support vector machine svm
- feature extraction
- ls svm
- feature vectors
- support vector
- similarity measure
- upper bound
- supervised learning
- text classification
- regression model
- machine learning
- feature selection algorithms
- neural network