Uncertainty-Aware Clustering for Unsupervised Domain Adaptive Object Re-Identification.
Pengfei WangChangxing DingWentao TanMingming GongKui JiaDacheng TaoPublished in: IEEE Trans. Multim. (2023)
Keyphrases
- unsupervised learning
- clustering algorithm
- similar objects
- clustering method
- k means
- unsupervised manner
- data objects
- information bottleneck
- object model
- unsupervised classification
- data driven
- unsupervised feature selection
- d objects
- data clustering
- unsupervised clustering
- supervised classification
- machine learning
- information theoretic
- domain specific
- domain experts
- complex objects
- supervised learning
- semi supervised
- web objects
- cluster validation
- minimum message length
- categorical data
- object models
- target object
- uncertain data
- outlier detection
- feature space
- agglomerative clustering
- three dimensional
- image segmentation
- learning algorithm