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发表刊物：IEEE Access
关键字：Parameter-free learning; incremental co-clustering; multi-modal data; cyber-physical-social systems
摘要：With the rapid advances of cyber-physical-social systems (CPSS), large amounts of dynamic multi-modal data are being generated and collected. Analyzing those data effectively and efficiently can help to promote the development and improve the service quality of CPSS applications. As an important technique of multi-modal data analysis, co-clustering, designed to identify groupings of multi-dimensional data based on cross-modality fusion, is often exploited. Unfortunately, most existing co-clustering methods that mainly focus on dealing with static data become infeasible to fuse huge volume of m
合写作者：Chen, Zhikui,杨懿
论文类型：开发研究
论文编号：000431443500001
一级学科：控制科学与工程
文献类型：期刊
卷号：5
页面范围：21852-21861
ISSN号：21693536
是否译文：否
CN号：null
发表时间：2017-10-09
收录刊物：SCI
发布期刊链接：https://doi-org-443.e.buaa.edu.cn/10.1109/ACCESS.2017.2758798