A feature selection approach for automatic e-book classification based on discourse segmentation.
Jiunn-Liang GuoHei-Chia WangMing-Way LaiPublished in: Program (2015)
Keyphrases
- feature selection
- statistical classification
- classification accuracy
- features extraction
- support vector
- fully automatic
- text classification
- classification models
- feature extraction
- machine learning
- feature set
- image segmentation
- pattern recognition
- support vector machine
- unsupervised learning
- feature space
- high dimensionality
- feature selection algorithms
- image classification
- text categorization
- decision trees
- classification performances
- symbol recognition
- discriminative features
- feature selection and classification
- irrelevant features
- pixel classification
- feature subset
- naive bayes
- semi automatic
- feature vectors
- segmentation algorithm
- dimensionality reduction
- mutual information
- model selection
- learning algorithm
- method for feature selection
- medical images
- feature weighting
- book presents
- class labels
- segmentation method
- level set
- bayesian classifier
- book covers
- accurate classification
- multi task
- feature reduction
- supervised learning
- multiscale
- classification algorithm