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Multiview Clustering With Propagating Information Bottleneck

IEEE Transactions on Neural Networks and Learning Systems
In many practical applications, massive data are observed from multiple sources, each of which contains multiple cohesive views, called hierarchical multiview (HMV) data, such as image-text objects with different types of visual and textual features. Naturally, the inclusion of source and view relationships offers a comprehensive view of the input HMV ...
Shizhe Hu   +4 more
openaire   +2 more sources

SNIB: Improving Spike-Based Machine Learning Using Nonlinear Information Bottleneck

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023
Shuangming Yang, Badong Chen
exaly  

Self-Supervised Information Bottleneck for Deep Multi-View Subspace Clustering

IEEE Transactions on Image Processing, 2023
Shiye Wang, Changsheng Li, Yanming Li
exaly  

Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach

IEEE Journal on Selected Areas in Communications, 2022
Jiawei Shao, Mao, Yuyi, Jun Zhang
exaly  

Bottleneck and spread of Treponema pallidum

Nature Reviews Microbiology, 2021
exaly  

Multimodal Information Bottleneck: Learning Minimal Sufficient Unimodal and Multimodal Representations

IEEE Transactions on Multimedia, 2023
Sijie Mai, Ying Zeng, Haifeng Hu
exaly  

Information Technology and Cancer Prevention

Ca-A Cancer Journal for Clinicians, 2006
Masahito Jimbo   +2 more
exaly  

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