Changepoint detection-assisted nonparametric clustering for unsupervised temporal sign segmentation.
HoHyun SimHyeonjoong ChoHankyu LeePublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- temporal segmentation
- unsupervised learning
- unsupervised clustering
- sign recognition
- agglomerative clustering
- information bottleneck
- clustering algorithm
- data driven
- level set
- image segmentation
- unsupervised manner
- information theoretic
- clustering method
- spatio temporal
- segmentation algorithm
- spatial and temporal
- complex background
- normalized cut
- k means
- false positives
- cell segmentation
- unsupervised classification
- supervised learning
- text segmentation
- temporal information
- fully unsupervised
- medical images
- data clustering
- bayesian image segmentation
- dirichlet process mixture models
- video sequences
- detection method
- self organizing maps
- anomaly detection
- reliable detection
- density estimation
- fuzzy clustering
- semi supervised
- detection rate
- circular hough transform
- low signal to noise ratio
- temporal reasoning
- completely unsupervised
- unsupervised feature selection
- detection algorithm
- supervised classification
- bounding box
- fracture detection
- temporal patterns
- active contours
- cluster validation
- sign language
- bayesian information criterion
- segmentation method
- cluster analysis
- document clustering
- traffic signs
- word segmentation
- region growing