Journal:IEEE Access

Key Words:Parameter-free learning; incremental co-clustering; multi-modal data; cyber-physical-social systems

Abstract: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

Co-author:Chen, Zhikui,Cissy Yang

Indexed by:Development research

Document Code:000431443500001

First-Level Discipline:Control Science and Engineering

Document Type:J

Volume:5

Page Number:21852-21861

ISSN No.:21693536

Translation or Not:no

CN No.:null

Date of Publication:2017-10-09

Included Journals:SCI

Links to published journals:https://doi-org-443.e.buaa.edu.cn/10.1109/ACCESS.2017.2758798

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