Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Shaoning Zeng"'
Publikováno v:
IET Computer Vision, Vol 17, Iss 5, Pp 576-585 (2023)
Abstract Point cloud completion is prevalent due to the insufficient results from current point cloud acquisition equipments, where a large number of point data failed to represent a relatively complete shape. Existing point cloud completion algorith
Externí odkaz:
https://doaj.org/article/0fdcedb9957344cc99aea642d9f6c2f2
Publikováno v:
Mathematics, Vol 11, Iss 4, p 940 (2023)
The feature representation learning is the basic task that plays an important role in artificial intelligence, data mining and robotics [...]
Externí odkaz:
https://doaj.org/article/8cbf8ce1a87b42c5bf02b3e38aef02d3
Publikováno v:
IEEE Access, Vol 8, Pp 216645-216670 (2020)
In recent years, linear representation-based methods have been widely researched and applied in the image classification field. Generally speaking, there are three steps within linear representation-based classification (LRC) algorithms. The first st
Externí odkaz:
https://doaj.org/article/4dfe6c7bef1642a399491bab1b218039
Publikováno v:
Mathematics, Vol 9, Iss 23, p 3096 (2021)
Blockage of pedestrians will cause inaccurate people counting, and people’s heads are easily blocked by each other in crowded occasions. To reduce missed detections as much as possible and improve the capability of the detection model, this paper p
Externí odkaz:
https://doaj.org/article/d3aee37898a8423dbc2b027aaeba3447
Publikováno v:
IEEE Access, Vol 5, Pp 16618-16634 (2017)
K-nearest neighbor rule (KNN) and sparse representation (SR) are widely used algorithms in pattern classification. In this paper, we propose two new nearest neighbor classification methods, in which the novel weighted voting methods are developed for
Externí odkaz:
https://doaj.org/article/7c755226275c486c821709c44c064290
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 19:1-24
Dictionary-based Classification (DC) has been a promising learning theory in multimedia computing. Previous studies focused on learning a discriminative dictionary as well as the sparsest representation based on the dictionary, to cope with the compl
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 19:1-17
Zero-shot learning (ZSL) aims to recognize image instances of unseen classes solely based on the semantic descriptions of the unseen classes. In this field, Generalized Zero-Shot Learning (GZSL) is a challenging problem in which the images of both se
Publikováno v:
IEEE Transactions on Image Processing. 32:603-616
Autor:
Yaguan Qian, Zhiqiang He, Yuqi Wang, Bin Wang, Xiang Ling, Zhaoquan Gu, Haijiang Wang, Shaoning Zeng, Wassim Swaileh
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-13
Autor:
Jiawei Wu, Manni Zhang, Minyu Su, Yuqi Zhang, Jun Liang, Shaoning Zeng, Baishun Chen, Li Cui, Chong Hou, Guangming Tao
Publikováno v:
Advanced Fiber Materials. 4:1545-1555