multi-kernel learninggraph clusteringsubspace clusteringsubspace learningnon-negative matrix factorizationmulti-task learningIn the big data era, the data are generated from different sources or observed from d
A comprehensive survey on multi-view clustering[J]. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(12): 12350-12368. 摘要 信息采集和提取技术的发展带动了多视角数据的流行,使得样本能够从多个角度被看待。多视图聚类 (MVC) 通过利用来自多个视图的互补且一致的信息对数据样本进行分组,越来越...
《Self-supervised Multi-view Clustering in Computer Vision: A Survey》 https://arxiv.org/pdf/2309.09473.pdf 方法: 整体结构 数据集 方法分类 传统表征学习方法: 自监督方法
Machine Unlearning of Federated Clusters 2022 Pan et al. arXiv SCMA - Federated clustering Machine Unlearning for Image Retrieval: A Generative Scrubbing Approach 2022 Zhang et al. MM - - DNN-based Models Machine Unlearning: Linear Filtration for Logit-based Classifiers 2022 Baumhauer et al. Machin...
Latent representation learning for alzheimer’s disease diagnosis with incomplete multi-modality neuroimaging and genetic data IEEE Trans. Med. Imaging, 38 (10) (2019), pp. 2411-2422 CrossrefView in ScopusGoogle Scholar [64] D. Kim, Y.-H. Tsai, B. Zhuang, X. Yu, S. Sclaroff, K. Saen...
Furthermore, to alleviate the side effect of validity dif- ferences, we introduce a self-supervised objective for confidence estimation, which delivers more effective optimization without the requirement of additional annotation efforts. CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting ...
While AI can accurately extract critical features and valuable information from large amounts of data to help people complete tasks faster, there are growing concerns about the non-transparency of AI in the decision-making process. The emergence of explainable AI (XAI) has allowed humans to ...
The application of several swarm intelligence and evolutionary metaheuristic algorithms in data clustering problems has in the past few decades gained wide
Learn from incomplete tactile data: Tactile representation learning with masked autoencoders, IROS, 2023. Cao, Guanqun and Jiang, Jiaqi and Bollegala, Danushka and Luo, Shan. [page] Dexterity from touch: Self-supervised pre-training of tactile representations with robotic play, ArXiv, 2023. Guze...
Imputation-freeMatrix factorizationClustering[zhao2018incomplete] Imputation-freeWeighted fusionClustering[2020CDIMC], [wen2021structural], [xu2022deep] Imputation-freeRepresentation learning strategyClassification[zhang2019cpm, mckinzie2023robustness, yao2024drfuse] ...