Least squares twin support vector hypersphere (LS-TSVH) for pattern recognition.
Xinjun PengPublished in: Expert Syst. Appl. (2010)
Keyphrases
- least squares
- pattern recognition
- support vector
- hyperplane
- ls svm
- learning machines
- logistic regression
- robust estimation
- machine learning
- pattern analysis
- kernel function
- parameter estimation
- image processing
- maximum margin
- computer vision
- cross validation
- image analysis
- support vector machine svm
- signal processing
- binary classification
- pattern recognition problems
- loss function
- svm classifier
- pattern classification
- feature extraction
- generalization ability
- multi class classification
- neural network
- optical flow
- classification accuracy
- graph matching
- sparse linear
- feature selection
- fuzzy sets
- support vector regression
- kernel methods
- curve fitting
- large margin classifiers
- data points