SS-AOE: Subspace Based Classification Framework for Avoiding Over-Confidence Errors.
Xinqi WangDan YuGuanjun LaiPublished in: ADMA (2020)
Keyphrases
- support vector
- classification method
- main contribution
- classification accuracy
- feature extraction
- classification scheme
- theoretical framework
- subspace analysis
- data mining
- feature space
- preprocessing
- feature vectors
- classification systems
- classification models
- confidence level
- subspace methods
- linear subspace
- multi category
- automatic classification
- cost sensitive
- benchmark datasets
- support vector machine svm
- image classification
- support vector machine
- probabilistic model