Multi-modal Classification Using Domain Adaptation for Automated Defect Detection Based on the Hammering Test.
Keitaro UshirodaJun Younes Louhi KasaharaAtsushi YamashitaHajime AsamaPublished in: SII (2022)
Keyphrases
- multi modal
- domain adaptation
- defect detection
- document classification
- test data
- feature extraction
- multi modality
- single modality
- co training
- cross domain
- supervised learning
- labeled data
- feature representation
- text classification
- image classification
- semi supervised
- semi supervised learning
- classification accuracy
- classification algorithm
- multiple sources
- decision trees
- unsupervised learning
- high dimensional
- machine learning
- unlabeled data
- feature vectors
- sentiment classification
- uni modal
- semantic concepts
- class labels
- machine learning algorithms
- multi view
- feature space
- training data
- information retrieval