Zobrazeno 1 - 10
of 123
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:
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:
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:
International Journal of Advanced Robotic Systems, Vol 8, Iss 1, Pp 21-28 (2011)
Global localization problem is one of the classical and important problems in mobile robot. In this paper, we present an approach to solve robot global localization in indoor environments with grid map. It combines Hough Scan Matching (HSM) and grid
Externí odkaz:
https://doaj.org/article/16df70c24020423ea958ec415357be8f
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 10 (2013)
Localizationis of vital importance for an unmanned vehicle to drive on the road. Most of the existing algorithms are based on laser range finders, inertial equipment, artificial landmarks, distributing sensors or global positioning system(GPS) inform
Externí odkaz:
https://doaj.org/article/dd15ac9144834b4d8d0592ef9e0f49ac
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 10 (2013)
In this paper, we propose an online key object discovery and tracking system based on visual saliency. We formulate the problem as a temporally consistent binary labelling task on a conditional random field and solve it by using a particle filter. We
Externí odkaz:
https://doaj.org/article/220bdc1b62b04b768aba04dfede07975
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 8 (2011)
Global localization problem is one of the classical and important problems in mobile robot. In this paper, we present an approach to solve robot global localization in indoor environments with grid map. It combines Hough Scan Matching (HSM) and grid
Externí odkaz:
https://doaj.org/article/a597986801f04607b36a0e696bfd900f
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