HEp-2 Cell Classification Using Multi-resolution Local Patterns and Ensemble SVMs.
Siyamalan ManivannanWenqi LiShazia AkbarRuixuan WangJianguo ZhangStephen J. McKennaPublished in: I3A@ICPR (2014)
Keyphrases
- support vector
- multiresolution
- support vector machine svm
- feature selection
- training set
- generalization ability
- majority voting
- support vector machine
- classification accuracy
- classification algorithm
- classification method
- feature vectors
- ensemble methods
- accurate classifiers
- svm classifier
- ensemble learning
- lung disease
- machine learning
- random forests
- feature space
- training data
- decision trees
- learning algorithm
- support vector machine classifiers
- neural networks and support vector machines
- classifier ensemble
- pattern recognition
- binary classification problems
- regression problems
- support vectors
- logistic regression
- benchmark datasets
- training samples
- neural network
- feature extraction
- imbalanced data
- soft margin
- final classification
- training support vector machines
- multi class
- random forest
- kernel function
- machine learning methods
- supervised learning
- image classification
- text classification
- model selection
- linear support vector machines
- structured learning
- prediction accuracy
- decision boundary
- cost sensitive
- hyperplane
- multiclass classification
- feature ranking
- naive bayes classifier
- binary classification
- multi class classification