January 2018
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13 Reads
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5 Citations
Chinese Journal of Engineering Science
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Publications (3)
August 2017
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149 Reads
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30 Citations
April 2017
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20 Reads
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6 Citations
Neurocomputing
In this paper, we proposed to apply IncSFA to represent the feature of 3D model and employed graph matching to handle similarity measure problem between two different 3D model. First, we built the input data in order to guarantee it suitable for SFA mode according to structure information of 3D model. Second, SFA method utilizes iterations learning method to extract slow feature for each 2D views recorded from 3D model. Finally, weighted bipartite graph matching is leveraged to compute the similarity between query model and candidate model. Extensive comparison experiments were on the popular ETH dataset. The results demonstrate the superiority of the proposed method.
Citations (3)
... In the era of the Internet of Everything, positions have gradually evolved into highly intelligent and complex work functions. As artificial intelligence is being applied in the sphere of intelligent manufacturing more and more, the system implementation form of intelligent manufacturing has been widely studied based on the definition of enterprise key performance indicators (KPI) [19]. The main role of artificial intelligence technology in intelligent manufacturing has been reflected through typical application scenarios, and its application map has been proposed from the life cycle dimension, and common technologies have been summarized. ...
- Citing Article
January 2018
Chinese Journal of Engineering Science
... Some application examples of the IMSA architecture can be found in the scientific literature. For example, Wei et al. illustrated the essential elements of IMSA and presented two use case examples [107]. The first example presents a Haier Group interconnected factory application, and the second one develops an industrial internet-based monitoring and management system for distributed bioenergy generation. ...
- Citing Conference Paper
August 2017
... In recent years, the SFA algorithms have been well applied in various fields, such as human behavior recognition [16][17][18], blind signal analysis [7,19], dynamic monitoring [20], 3D feature extraction [21] and multi-person path planning [22]. ...
- Citing Article
April 2017
Neurocomputing