Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Nan Feng Xiao"'
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030002138
Deep learning makes a great breakthrough in the field of artificial intelligence. Currently, the robustness of the speech recognition in time domain performs poorly, and the spectrogram complexity of the speech recognition in frequency domain also ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15456e5a0cdeacab08a29721bbfc1a17
https://doi.org/10.1007/978-3-030-00214-5_110
https://doi.org/10.1007/978-3-030-00214-5_110
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811089435
Deep learning makes a great breakthrough in the field of artificial intelligence. The performance of robots on the uncertainty task can be enhanced using the deep learning. Due to the accumulative errors of the servomotors, the robot’s end-of-arm t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e20f9ae7a42172a10c6ad03b6bf6df51
https://doi.org/10.1007/978-981-10-8944-2_49
https://doi.org/10.1007/978-981-10-8944-2_49
Autor:
Jian-cheng Xu, Nan-feng Xiao
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319659770
The automatic speech emotion recognition (SER) is a challenging and attractive task. To gain a high accuracy in SER, it is need to extract salient features from the speech. Therefore, in this paper, we first verify whether the deep convolutional neur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b5b2edb5533c6bf06a2dae58ed77c97
https://doi.org/10.1007/978-3-319-65978-7_58
https://doi.org/10.1007/978-3-319-65978-7_58
Autor:
Nan-feng Xiao, Bo Hu
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319659770
This paper presents a Kinect sensor-based control approach for two humanoid robot hands. Firstly, the D-H method is used to establish forward and inverse kinematics models for the humanoid robot hands, establish the 3D models of the humanoid robot ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e82536ad409c483112db459b7d934f9
https://doi.org/10.1007/978-3-319-65978-7_81
https://doi.org/10.1007/978-3-319-65978-7_81
Autor:
Nan-feng Xiao, Tao Li
Publikováno v:
Journal of Central South University. 20:3156-3165
A new parallel architecture for quantified boolean formula (QBF) solving was proposed, and the prediction model based on machine learning technology was proposed for how sharing knowledge affects the solving performance in QBF parallel solving system
Autor:
Yong Ming Wang1 yymm_wang@163.com, Nan Feng Xiao1, Hong Li Yin2, En Liang Hu3, Cheng Gui Zhao4, Yan Rong Jiang5
Publikováno v:
International Journal of Advanced Manufacturing Technology. Dec2008, Vol. 39 Issue 7/8, p813-820. 8p. 1 Diagram, 3 Charts, 1 Graph.
Autor:
Shu Yue Hua, Nan Feng Xiao
Publikováno v:
Applied Mechanics and Materials. :523-526
Visual attention mechanism is introduced into the traditional road disaster monitoring and early warning system. In this system, the disaster region is the focus of attention (FOA), which happens to be the object needed to process. Ittis algorithm [1
Publikováno v:
Applied Mechanics and Materials. :1572-1575
There are some problems in the traditional face recognition: too sensitive to light, its classification is too simple, hard to apply to distributed system. For these problems, this paper does three work: used HOG feature in the face recognition, that
Autor:
Nan Feng Xiao, Long Yang
Publikováno v:
Applied Mechanics and Materials. :708-711
Add attention mechanism into traditional robot stereo vision system, thus got the possible workpiece position quickly by saliency image, highly accelerate the computing process. First, to get the camera intrinsic matrix and extrinsic matrix, camera s
Autor:
Nan-Feng Xiao, Tong Zhang
Publikováno v:
Journal of Central South University. 18:627-632
In order to make the humanoid robot walk freely in complicated circumstance, the reliable capabilities for obtaining plane information from its surroundings are demanded. A system for extracting planes from data taken by stereo vision was presented.