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- 검색키워드
- 저자 : ( Weiting Li ) (검색결과 3 건)
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The geography of intercity technological proximity: evidence from China
Yingcheng Li,Weiting Xiong,Xiaowu Hu 서울시립대학교 도시과학연구원 2023 도시과학국제저널 Vol.27 No.3
In the context of a globalizing knowledge economy, cities have become more technologically proximate due to the increasing exchanges of people, information, and knowledge. However, technological proximity at the city level has gained relatively little attention within the vast literature on proximity. Drawing upon detailed address information on nearly 3.6 million invention patents that were applied in China between 2012 and 2016, this paper investigates the geography of intercity technological proximity among 286 Chinese cities. Technological proximity is measured by comparing cities’ technological profiles which are represented by the distribution of different classifications of patenting activity in which cities specialize. The empirical results show that the level of intercity technological proximity among Chinese cities has been generally on the rise. Moreover, there is strong spatial political bias in the geography of intercity technological proximity, with geographical proximity and institutional proximity having played a significantly positive role in facilitating intercity technological proximity.
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An Action Unit co-occurrence constraint 3DCNN based Action Unit recognition approach
( Xibin Jia ),( Weiting Li ),( Yuechen Wang ),( Sungchan Hong ),( Xing Su ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.3
The facial expression is diverse and various among persons due to the impact of the psychology factor. Whilst the facial action is comparatively steady because of the fixedness of the anatomic structure. Therefore, to improve performance of the action unit recognition will facilitate the facial expression recognition and provide profound basis for the mental state analysis, etc. However, it still a challenge job and recognition accuracy rate is limited, because the muscle movements around the face are tiny and the facial actions are not obvious accordingly. Taking account of the moving of muscles impact each other when person express their emotion, we propose to make full use of co-occurrence relationship among action units (AUs) in this paper. Considering the dynamic characteristic of AUs as well, we adopt the 3D Convolutional Neural Network(3DCNN) as base framework and proposed to recognize multiple action units around brows, nose and mouth specially contributing in the emotion expression with putting their co-occurrence relationships as constrain. The experiments have been conducted on a typical public dataset CASME and its variant CASME2 dataset. The experiment results show that our proposed AU co-occurrence constraint 3DCNN based AU recognition approach outperforms current approaches and demonstrate the effectiveness of taking use of AUs relationship in AU recognition.
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A Supervised Patch-adaptive Super Resolution Algorithm Based on Compressive Sensing
Haitian Zhai,Hui Li,Weiting Gao 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.12
This paper introduces a novel solution to generate a super-resolution image from a set of low-resolution input based on patch information. Recent research has shown that super-resolved data can be reconstructed from an extremely small set of measurements compared to that currently required. This paper incorporates the compressive sensing framework to the reconstruction model. Moreover, in order to remove outliers introduced by image parallax, the supervised patch-adaptive matching method which uses photometrical similarity and geometrical distance to determine the matching patch is proposed to reconstruct the high resolution image. The performance of the proposed algorithm on both synthetic and real images is evaluated with several grayscale and color image sequences and found successful when compared to other algorithms.
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