An Interpretable Compression and Classification System: Theory and Applications.
Tzu-Wei TsengKai-Jiun YangC.-C. Jay KuoShang-Ho TsaiPublished in: CoRR (2019)
Keyphrases
- classification accuracy
- decision trees
- feature extraction
- pattern recognition
- classification method
- unsupervised learning
- text classification
- machine learning
- support vector machine svm
- classification systems
- object classification
- classification scheme
- automatic classification
- classification rules
- classification algorithm
- benchmark datasets
- support vector
- feature space
- feature vectors
- image compression
- data compression
- pattern classification
- decision rules
- supervised learning
- support vector machine
- machine learning methods
- theoretical framework
- image classification
- compression ratio
- machine learning algorithms
- classification models
- data sets
- preprocessing
- model selection
- training data
- compression rate