Cost-sensitive sparse linear regression for crowd counting with imbalanced training data.
Xiaolin HuangYuexian ZouYi WangPublished in: ICME (2016)
Keyphrases
- linear regression
- cost sensitive
- class distribution
- training data
- class imbalance
- naive bayes
- imbalanced data
- misclassification costs
- least squares
- cost sensitive learning
- multi class
- minority class
- cost sensitive classification
- binary classification
- regression problems
- support vector machine
- training set
- active learning
- decision trees
- classification accuracy
- supervised learning
- test set
- training examples
- bregman divergences
- nonlinear regression
- data sets
- boosting algorithms
- high dimensional
- learning algorithm
- probability estimation
- regression trees
- test data
- multi label
- training samples
- logistic regression
- class labels
- unlabeled data
- pairwise