Sparse support vector machine for pattern recognition.
Guangyi ChenTien D. BuiAdam KrzyzakPublished in: Concurr. Comput. Pract. Exp. (2016)
Keyphrases
- pattern recognition
- support vector machine
- support vector machine svm
- machine learning
- reduced set
- multi class
- svm classifier
- signal processing
- image analysis
- neural network
- feature extraction
- pattern classification
- sparse data
- k nearest neighbor
- image processing
- computer vision
- training data
- high classification accuracy
- support vector
- kernel methods
- radial basis function
- learning machines
- multi class support vector machines
- svm classification
- stock market prediction
- pattern analysis
- dimensionality reduction
- feature space
- support vectors
- random projections
- singular value decomposition
- compressive sensing
- small sample
- kernel function
- multiscale
- feature selection