Task-Adaptive Clustering for Semi-Supervised Few-Shot Classification.
Jun SeoSung Whan YoonJaekyun MoonPublished in: CoRR (2020)
Keyphrases
- semi supervised
- unsupervised learning
- supervised learning
- supervised classification
- classification accuracy
- text classification
- pattern recognition
- semi supervised clustering
- support vector machine svm
- pattern classification
- clustering method
- clustering analysis
- unsupervised clustering
- active learning
- decision trees
- semi supervised classification
- feature vectors
- data clustering
- clustering algorithm
- high dimensionality
- classification method
- machine learning
- unsupervised classification
- self organizing maps
- feature selection
- detection algorithm
- class labels
- semi supervised learning
- model selection
- training set
- k means
- multi class
- feature set
- dimensionality reduction
- instance level constraints
- shot detection
- feature extraction
- constrained clustering
- incremental learning
- fuzzy clustering
- image classification
- document clustering
- key frames
- visual features
- classification algorithm