Dual autoencoders features for imbalance classification problem.
Wing W. Y. NgGuangjun ZengJiangjun ZhangDaniel S. YeungWitold PedryczPublished in: Pattern Recognit. (2016)
Keyphrases
- classification accuracy
- feature vectors
- classification method
- feature space
- svm classifier
- classification process
- support vector machine svm
- extracting features
- feature extraction
- classification models
- extracted features
- feature set
- support vector machine
- benchmark datasets
- class labels
- feature analysis
- irrelevant features
- machine learning
- gender classification
- decision tree classifiers
- learning algorithm
- machine learning algorithms
- image features
- training set
- supervised learning
- high dimensionality
- feature construction
- discriminative features
- feature values
- training samples
- classification rate
- classification scheme
- class imbalance
- classification algorithm
- feature selection algorithms
- support vector
- image classification
- feature subset
- pattern classification
- feature reduction
- knn
- image processing
- imbalanced data
- handwritten digits
- semi supervised
- multiple features
- class distribution
- unsupervised learning
- false positives