Results 241 to 250 of about 3,629,477 (294)

Cross-Modal Clustering With Deep Correlated Information Bottleneck Method

IEEE Transactions on Neural Networks and Learning Systems, 2023
Cross-modal clustering (CMC) intends to improve the clustering accuracy (ACC) by exploiting the correlations across modalities. Although recent research has made impressive advances, it remains a challenge to sufficiently capture the correlations across ...
Xiaoqiang Yan, Yiqiao Mao, Yangdong Ye, Hui Yu   +3 more
semanticscholar   +3 more sources

Coarsely Quantized Layered Decoding Using the Information Bottleneck Method

ICC 2021 - IEEE International Conference on Communications, 2021
In recent years coarsely quantized LDPC decoding using a flooding schedule has been extensively studied. However, there exist few works addressing coarse quantization for a layered schedule, which enables improved convergence speed of the message passing
Philipp H. Mohr, G. Bauch, Fan Yu, Mo Li
semanticscholar   +2 more sources

Polar code construction using the information bottleneck method

2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), 2018
The provably capacity-achieving error-correction capability of polar codes prospered huge interest in academia and industry. The explicit structure of polar codes leads to a different notion of code construction which refers to the assignment of information bits to certain positions in that structure instead of the design of the structure itself. State-
Maximilian Stark, Syed Aizaz Ali Shah, G. Bauch   +2 more
semanticscholar   +2 more sources

Incremental Multiview Clustering With Continual Information Bottleneck Method

IEEE Transactions on Systems, Man, and Cybernetics: Systems
Multiview clustering (MVC) provides a natural formulation to generate clusters for multiview data, which is fundamental to lots of industrial tasks like autonomous driving, defect detection, and multisensor information fusion, as part of the foundation ...
Xiaoqiang Yan, Yiqiao Mao, Yangdong Ye, Hui Yu   +3 more
semanticscholar   +2 more sources

Unsupervised video categorization based on multivariate information bottleneck method

Knowledge-Based Systems, 2015
Novel multivariate IB model is proposed for unsupervised video categorization.Effective solution is designed to integrate multiple features simultaneously.Information-theoretic optimization is constructed to alleviate the semantic gap. The integration of multiple features is important for action categorization and object recognition in videos, because ...
Xiaoqiang Yan, Yangdong Ye, Zhengzheng Lou   +2 more
semanticscholar   +2 more sources

A Novel Approach to Distributed Quantization via Multivariate Information Bottleneck Method

2019 IEEE Global Communications Conference (GLOBECOM), 2019
Consider following setup: A number of observations from a data source shall be compressed jointly prior to a forward transmission via several rate- limited links to a central processing unit.
Shayan Hassanpour, D. Wübben, A. Dekorsy   +2 more
semanticscholar   +2 more sources

Unsupervised Image Clustering Using the Information Bottleneck Method

DAGM-Symposium, 2002
A new method for unsupervised image category clustering is presented, based on a continuous version of a recently introduced information theoretic principle, the information bottleneck (IB). The clustering method is based on hierarchical grouping: Utilizing a Gaussian mixture model, each image in a given archive is first represented as a set of ...
J. Goldberger, H. Greenspan, S. Gordon
semanticscholar   +2 more sources

Extraction of relevant speech features using the information bottleneck method

Interspeech 2005, 2005
Ron M. Hecht, Naftali Tishby
semanticscholar   +2 more sources