7 citations · 7 across the 2 of their papers we have counts for
3 papers
cs.CV2022
K-textures, a self-supervised hard clustering deep learning algorithm for satellite image segmentation
Fabien H. Wagner, Ricardo Dalagnol, Alber H. Sánchez +6
Deep learning self-supervised algorithms that can segment an image in a fixed number of hard labels such as the k-means algorithm and relying only on deep learning techniques are s…
cs.CV2021★ 7 cited
Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation
Song Tang, Yan Yang, Zhiyuan Ma +5
In the classic setting of unsupervised domain adaptation (UDA), the labeled source data are available in the training phase. However, in many real-world scenarios, owing to some re…
eess.IV2020
A novel semi-supervised multi-view clustering framework for screening Parkinson's disease
Xiaobo Zhang, Donghai Zhai, Yan Yang +2
In recent years, there are many research cases for the diagnosis of Parkinson's disease (PD) with the brain magnetic resonance imaging (MRI) by utilizing the traditional unsupervis…