Zobrazeno 1 - 10
of 180
pro vyhledávání: '"Peiguang Lin"'
Autor:
Nan Liu, Peiguang Lin, Di Jiang, Qifan Li, Haodi Zhang, Weiteng Xie, Lei Chen, Chen Zhang, Kaishun Wu
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:3629-3642
Uncertain data has been emerged as an important problem in database systems due to the imprecise nature of many applications. To handle the uncertainty, probabilistic databases can be used to store uncertain data, and querying facilities are provided
Publikováno v:
Intelligent Automation & Soft Computing. 28:369-378
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 16:1-19
Image aesthetics assessment aims to endow computers with the ability to judge the aesthetic values of images, and its potential has been recognized in a variety of applications. Most previous studies perform aesthetics assessment purely based on imag
Publikováno v:
Evolutionary Intelligence. 15:2411-2420
This paper proposes a new algorithm for detecting and generating simple circuits within a directed graph. Before generating all simple circuits in a directed graph, the algorithm first detects whether there is a simple circuit in directed graph, and
Publikováno v:
Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering.
Publikováno v:
ICAC
Even though temporal information matters for the quality of video saliency detection, many problems such as bad performance in time-space coherence and edge continuity still face present network frameworks. In response to these problems, this paper d
Publikováno v:
Intelligent Automation & Soft Computing; 2021, Vol. 28 Issue 2, p369-378, 10p
Publikováno v:
SCIENTIA SINICA Informationis. 48:1697-1708
In recent years, owing to the rapid growth of the number of videos on the Internet, near-duplicate video retrieval (NDVR) by video hashing has attracted huge attention. In the existing methods, the visual features of videos, including single feature
Publikováno v:
ACM Transactions on Multimedia Computing, Communications & Applications; 2020Supplement, Vol. 16 Issue 3s, p1-19, 19p
Publikováno v:
Journal of Visual Communication and Image Representation. 48:367-374
Learning effective relevance measures plays a crucial role in improving the performance of content-based image retrieval (CBIR) systems. Despite extensive research efforts for decades, how to discover and incorporate semantic information of images st