A Learning Vector Quantization Architecture for Transfer Learning Based Classification in Case of Multiple Sources by Means of Null-Space Evaluation.
Thomas VillmannDaniel StapsJensun RavichandranSascha SaralajewMichael BiehlMarika KadenPublished in: IDA (2022)
Keyphrases
- learning vector quantization
- multiple sources
- transfer learning
- domain adaptation
- target domain
- null space
- neural network
- learning tasks
- self organizing maps
- data sources
- text classification
- active learning
- labeled data
- machine learning
- cross domain
- semi supervised learning
- machine learning algorithms
- data sets
- learning algorithm
- pattern recognition
- text categorization
- computer vision
- novelty detection
- feature vectors
- reinforcement learning
- singular value decomposition
- unlabeled data
- feature selection
- unsupervised learning
- collaborative filtering
- supervised learning