Sparse Support Vector Machine for pattern recognition.
Guangyi ChenTien D. BuiAdam KrzyzakPublished in: HPCS (2013)
Keyphrases
- pattern recognition
- support vector machine
- support vector machine svm
- machine learning
- reduced set
- svm classifier
- image analysis
- sparse data
- multi class
- signal processing
- computer vision
- image processing
- training data
- pattern analysis
- high dimensional
- support vector
- svm classification
- feature extraction
- stock market prediction
- small sample
- learning machines
- generalization ability
- sparse coding
- radial basis function
- feature space
- neural network
- kernel function
- feature selection
- classification method
- knn
- compressive sensing
- multi class support vector machines
- elastic net
- soft margin
- sparse matrix
- decision forest
- pattern recognition problems
- training set
- linear combination
- optimal parameters
- sparse representation
- support vector regression
- speech recognition
- pattern classification
- image reconstruction