Statistical SVMs for robust detection, supervised learning, and universal classification.
Dayu HuangJayakrishnan UnnikrishnanSean P. MeynVenugopal V. VeeravalliAmit SuranaPublished in: ITW (2009)
Keyphrases
- robust detection
- supervised learning
- support vector
- training set
- unsupervised learning
- machine learning
- support vector machine
- supervised classification
- feature detection
- class labels
- support vector machine svm
- feature selection
- training data
- feature vectors
- supervised machine learning
- decision boundary
- classification algorithm
- pattern recognition
- training samples
- data sets
- classification method
- semi supervised learning
- learning machines
- classification accuracy
- cost sensitive
- decision trees
- support vector machine classifiers
- kernel based learning
- multiclass classification
- knn
- multiple instance learning
- binary classification
- statistical learning
- generalization ability
- learning problems
- svm classifier
- active learning