Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification.
Gabriel HuangHugo LarochelleSimon Lacoste-JulienPublished in: CoRR (2019)
Keyphrases
- unsupervised learning
- unsupervised classification
- supervised classification
- unsupervised clustering
- k means
- shot detection
- supervised learning
- shot boundary detection
- video shots
- classification accuracy
- video sequences
- support vector
- key frames
- clustering algorithm
- text classification
- video data
- clustering method
- classification method
- video content
- social networks
- image classification
- semi supervised
- feature vectors
- feature extraction
- machine learning
- feature space
- unsupervised feature selection
- temporal segmentation
- decision trees
- shot change detection
- visual features
- feature selection
- unsupervised methods
- video indexing
- sports video
- pattern recognition
- fuzzy clustering
- document clustering