Imbalance Rectification in Deep Logistic Regression for Multi-Label Image Classification Using Random Noise Samples.
Wenjin YanRuixuan LiJun WangYuhua LiJinyang WangPan ZhouXiwu GuPublished in: CIKM (2019)
Keyphrases
- multi label
- logistic regression
- random noise
- image classification
- belief nets
- multilabel classification
- multi label classification
- image annotation
- binary classification
- decision trees
- image representation
- naive bayes
- bag of words
- loss function
- text categorization
- image features
- feature extraction
- training set
- support vector
- svm classifier
- multiple labels
- data sets
- class imbalance
- graph cuts
- data samples
- minority class
- training examples
- text mining
- feature selection