ACM MM 2022 《Continual Multi-view Clustering》 bib @inproceedings{10.1145/3503161.3547864, author = {Wan, Xinhang and Liu, Jiyuan and Liang, Weixuan and Liu, Xinwang and Wen, Yi and Zhu, En}, title = {Continual
Chaudhuri, K., Kakade, S.M., Livescu, K., Sridharan, K.: Multi-view clustering via canonical correlation analysis. In: Proceedings of the 26th annual international conference on machine learning, pp. 129–136. ACM (2009) Google Scholar ...
CrossrefView in ScopusGoogle Scholar [60] Briggs C., Fan Z., Andras P. Federated learning with hierarchical clustering of local updates to improve training on non-IID data 2020 International Joint Conference on Neural Networks, IJCNN, IEEE (2020), pp. 1-9 CrossrefGoogle Scholar [61] Hoffman...
[68] introduced CRegNet, a Continual Registration Network designed for multi-organ medical image registration using CL. CRegNet incorporates a dynamic memory module with density-based clustering algorithm to retain essential data and a U-Shape Registration Subnetwork for precise image alignment. This ...
The clustering step and above computation were repeated 10 times and the resulting curves were averaged. In addition to these three measures, we also reported the average estimated log-likelihood and the reconstruction error (see Supplementary Fig. 4), although it should be noted that comparing ...
Hierarchical clustering of proteins involved in the ECM. Figure generated using Perseus v. 1.6.7.0 software28. Full size image Cell–cell junction (Supplementary Fig S7; Supplementary Table S11) and cell–cell adhesion proteins (Supplementary Fig S8; Supplementary Table S12) are involved in cell-su...
To obtain K · Ct prototypes, we perform KMeans++ clustering, and the resulting centers of clusters are used to initialize the pro- totypical parts in gt. Task-recency bias compensation. When the model learns task t, the similarities to the prototypes of previous tasks ...
Fast determinantal point process sampling with application to clustering. Advances in Neural Information Processing Systems, 26, 2013. 4, 15 [33] Michael J Kearns and Umesh Vazirani. An introduction to computational learning theory. MIT press, 1994. 4 [34] Jam...
[CSCCT] Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer(ECCV 2022)[paper][code] [DLCFT] DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning(ECCV 2022)[paper] [ERDR] Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay(EC...
The clustering of memory samples from the last task suggests model focuses more on inter-task generalization rather than on intra-task generalization. (Color figure online) 280 Page 16 of 21 Table 4 Ablation study with different augmentation modules AL strategy RAND Meta-CAL (Ours.)...