Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Jiansu Pu"'
Publikováno v:
Entropy, Vol 25, Iss 10, p 1416 (2023)
Link prediction plays an important role in the research of complex networks. Its task is to predict missing links or possible new links in the future via existing information in the network. In recent years, many powerful link prediction algorithms h
Externí odkaz:
https://doaj.org/article/6e1b3cb8b27040a287d89e05d2a1cb6d
Publikováno v:
IEEE Access, Vol 8, Pp 92028-92038 (2020)
Accurate tooth segmentation from CBCT images is a crucial step for specialist to perform quantitative analysis, clinical diagnosis and operation. In this paper, we present a symmetric full convolutional network with residual block and Dense Condition
Externí odkaz:
https://doaj.org/article/29f037feff304e2c99470079b8899d3d
Publikováno v:
IEEE Access, Vol 8, Pp 176158-176169 (2020)
Target tracking based on Siamese network has reached the state-of-the-art performance. However is still limited in semantic feature extraction. In this paper, we propose a novel method to distinguish positive and negative samples. Taking deep neural
Externí odkaz:
https://doaj.org/article/b41f79393e9444bfbd956730db9f7995
Publikováno v:
IEEE Access, Vol 8, Pp 201700-201712 (2020)
Currently, object detectors based on CNN, such as RetinaNet, Faster-RCNN, CornerNet series, can achieve good performance, but have some common drawbacks, like large calculation cost, high model complexity and slow detection speed. In this paper, a ne
Externí odkaz:
https://doaj.org/article/d3edfae310964fdb85e26db3898899b2
Publikováno v:
IEEE Access, Vol 7, Pp 37757-37769 (2019)
The 3-D reconstruction methods based on structure from motion (SfM) pipeline mainly use the traditional scale invariant feature detecting methods for feature matching. This type of methods suffers from the accuracy with affine matching in the image-b
Externí odkaz:
https://doaj.org/article/fa26254af6aa45ee8d374ae282274d30
Publikováno v:
Sensors, Vol 21, Iss 8, p 2731 (2021)
Accurate segmentation of entity categories is the critical step for 3D scene understanding. This paper presents a fast deep neural network model with Dense Conditional Random Field (DCRF) as a post-processing method, which can perform accurate semant
Externí odkaz:
https://doaj.org/article/cb49b1827e7343e4a905028e2af2eaa9
Publikováno v:
Sensors, Vol 20, Iss 20, p 5895 (2020)
The development of the Internet has made social communication increasingly important for maintaining relationships between people. However, advertising and fraud are also growing incredibly fast and seriously affect our daily life, e.g., leading to m
Externí odkaz:
https://doaj.org/article/843cfd12eaca483eaa894206124f15dc
Publikováno v:
Sensors, Vol 16, Iss 12, p 2194 (2016)
Check-in records are usually available in social services, which offer us the opportunity to capture and analyze users’ spatial and temporal behaviors. Mining such behavior features is essential to social analysis and business intelligence. However
Externí odkaz:
https://doaj.org/article/8957ae014c084610846db226285ee4ab
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:
Computer Modeling in Engineering & Sciences. 132:1039-1054