A Data-Centric Approach for Improving Ambiguous Labels with Combined Semi-supervised Classification and Clustering.
Lars SchmarjeMonty SantarossaSimon-Martin SchröderClaudius ZelenkaRainer KikoJenny StrackeNina VolkmannReinhard KochPublished in: ECCV (8) (2022)
Keyphrases
- data centric
- semi supervised classification
- pairwise constraints
- semi supervised
- semi supervised learning
- data representation
- spectral clustering
- unlabeled data
- clustering algorithm
- data management
- pairwise
- labeled data
- business processes
- document clustering
- unsupervised learning
- clustering method
- information management
- application development
- supervised classification
- xml schema
- cluster analysis
- k means
- class labels
- database
- data points
- data driven
- routing protocol
- training set
- data storage
- training data
- distributed systems
- data clustering
- data streams