Joint calibration of Ensemble of Exemplar SVMs.
Davide ModoloAlexander VezhnevetsOlga RussakovskyVittorio FerrariPublished in: CoRR (2015)
Keyphrases
- training set
- support vector
- majority voting
- feature selection
- camera calibration
- ensemble methods
- multi class
- training data
- imbalanced data
- support vector machine svm
- regression problems
- generalization ability
- sparse kernel
- neural network
- learning algorithm
- support vector machine
- ensemble learning
- base classifiers
- feature ranking
- binary classification problems
- classification accuracy
- knn
- one class support vector machines
- classification using support vector machines
- linear svm
- accurate classifiers
- structured learning
- machine learning
- ensemble classifier
- random forest
- decision trees
- multi class classification
- support vectors
- binary classification
- random forests
- svm classifier
- benchmark datasets
- prediction accuracy
- linear support vector machines
- feature vectors
- pairwise
- shape context matching