A Transductive Support Vector Machine with adjustable quasi-linear kernel for semi-supervised data classification.
Bo ZhouChenlong HuBenhui ChenJinglu HuPublished in: IJCNN (2014)
Keyphrases
- data sets
- semi supervised
- data collection
- transductive support vector machine
- data quality
- raw data
- data structure
- pattern recognition
- data analysis
- data distribution
- image data
- labeled data
- data processing
- input data
- training data
- spectral clustering
- semi supervised learning
- image classification
- data points
- dimensionality reduction
- support vector machine
- training samples
- support vector machine svm
- classification accuracy
- decision trees
- prior knowledge
- neural network
- semi supervised classification
- partially labeled
- database