Zobrazeno 1 - 10
of 253
pro vyhledávání: '"Zejian Yuan"'
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
This paper investigates the selection of voxels for functional Magnetic Resonance Imaging (fMRI) brain data. We aim to identify a comprehensive set of discriminative voxels associated with human learning when exposed to a neutral visual stimulus that
Externí odkaz:
https://doaj.org/article/b26b5c4be34e405faa9f1dfe62a8262c
Publikováno v:
智能科学与技术学报, Vol 3, Pp 280-293 (2021)
A method based on visual saliency for ego-motion estimation and scale estimation of the vehicle in front was proposed.Firstly, for the ego-motion estimation of vehicle-mounted camera, the visual saliency calculation method was used to detect and remo
Externí odkaz:
https://doaj.org/article/b738d3a68f894470ba6d0885263a62f3
Publikováno v:
IEEE Transactions on Cybernetics. 52:13500-13511
As a novel similarity measure that is defined as the expectation of a kernel function between two random variables, correntropy has been successfully applied in robust machine learning and signal processing to combat large outliers. The kernel functi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc86693bbb6787236f0ca8c999157b85
https://doi.org/10.1109/tcyb.2021.3110732
https://doi.org/10.1109/tcyb.2021.3110732
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:7457-7468
When handling occlusion in unsupervised stereo matching, existing methods tend to neglect the supportive role of occlusion and to perform inappropriate disparity smoothing around the occlusion. To address these problems, we propose an occlusion-aware
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9c4049872dafdee91401222b5b05419
https://doi.org/10.1109/tits.2021.3070403
https://doi.org/10.1109/tits.2021.3070403
Publikováno v:
Frontiers in Neurorobotics, Vol 13 (2019)
Neurorobotics is one of the most ambitious fields in robotics, driving integration of interdisciplinary data and knowledge. One of the most productive areas of interdisciplinary research in this area has been the implementation of biologically-inspir
Externí odkaz:
https://doaj.org/article/bc1d9139bd5c4cce92c74742d73bfb71
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:321-332
Vehicle detection, the process of identifying vehicles as axis-aligned bounding boxes in still images, is widely used to estimate the range, time-to-collision, and motion of autonomous vehicles (AVs). Bounding boxes, while convenient, are too coarse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6c10d851a29bcafd324778832cd5b61
https://doi.org/10.1109/tits.2020.3010523
https://doi.org/10.1109/tits.2020.3010523
Autor:
Ruixin Liu, Zhihao Guan, Zejian Yuan, Ao Liu, Tong Zhou, Tang Kun, Erlong Li, Chao Zheng, Shuqi Mei
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70a1fbd384444b2843acc2f0bc6ae2ea
https://doi.org/10.1109/wacv56688.2023.00427
https://doi.org/10.1109/wacv56688.2023.00427
Publikováno v:
Entropy, Vol 17, Iss 8, Pp 5549-5560 (2015)
The minimum error entropy (MEE) criterion is an important learning criterion in information theoretical learning (ITL). However, the MEE solution cannot be obtained in closed form even for a simple linear regression problem, and one has to search it,
Externí odkaz:
https://doaj.org/article/f585ad8de20f4787a94f2bc26235091b
Publikováno v:
Science China Information Sciences. 65
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37df6f2332bd3906e059f36686060943
https://doi.org/10.1007/s11432-021-3300-2
https://doi.org/10.1007/s11432-021-3300-2
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 21:3777-3787
Recently, pedestrian detection has made significant advances benefiting from the region-based convolutional neural networks (R-CNN). However, training R-CNN with a holistic intersection over union (IoU) always brings many flawed positive samples. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4b49182f9d293b11719b7d33fdd1dad
https://doi.org/10.1109/tits.2019.2933581
https://doi.org/10.1109/tits.2019.2933581