A Highly Accurate Framework for Self-Labeled Semisupervised Classification in Industrial Applications.
Di WuXin LuoGuoyin WangMingsheng ShangYe YuanHuyong YanPublished in: IEEE Trans. Ind. Informatics (2018)
Keyphrases
- highly accurate
- industrial applications
- pattern recognition
- machine learning
- main contribution
- preprocessing
- video classification
- feature extraction
- high quality
- support vector
- automatic classification
- probabilistic model
- supervised learning
- classification scheme
- incremental learning
- intelligent systems
- image classification
- classification method
- classification accuracy
- accurate models
- capable of producing
- training data
- artificial intelligence
- neural network
- industrial systems
- class labels
- unlabeled data
- semi supervised learning
- feature set
- high accuracy
- feature vectors
- training set
- feature space
- learning algorithm