ClusterUDA: Latent Space Clustering in Unsupervised Domain Adaption for Pulmonary Nodule Detection.
Mengjie WangYuxin ZhuXiaoyu WeiKecheng ChenXiaorong PuChao LiYazhou RenPublished in: ICONIP (6) (2022)
Keyphrases
- latent space
- unsupervised learning
- clustering algorithm
- k means
- probabilistic latent semantic analysis
- low dimensional
- semi supervised
- dimensionality reduction
- domain specific
- high dimensional data
- latent variables
- feature space
- generative model
- distance metric
- gaussian process
- data points
- multiscale
- transfer learning
- computer vision