Semi-supervised sparse representation classifier with random sample subset ensembles in fMRI-based brain state decoding.
Jing ZhangChuncheng ZhangSutao SongLi YaoXiaojie ZhaoZhiying LongPublished in: Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2018)
Keyphrases
- sparse representation
- semi supervised
- random sample
- dictionary learning
- sparse coding
- image classification
- face recognition
- classifier ensemble
- semi supervised learning
- random projections
- signal processing
- activation detection
- image representation
- decision trees
- training samples
- generative model
- training examples
- functional magnetic resonance imaging
- sample size
- version space
- training instances
- data analysis
- training data
- objective function
- ensemble classifier
- support vector
- pattern recognition
- feature subset
- multi class
- pairwise
- labeled data
- support vector machine