Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Kuang-Pen Chou"'
Autor:
Kuang-Pen Chou, Mukesh Prasad, Di Wu, Nabin Sharma, Dong-Lin Li, Yu-Feng Lin, Michael Blumenstein, Wen-Chieh Lin, Chin-Teng Lin
Publikováno v:
IEEE Access, Vol 6, Pp 15283-15296 (2018)
Automated human action recognition has the potential to play an important role in public security, for example, in relation to the multiview surveillance videos taken in public places, such as train stations or airports. This paper compares three pra
Externí odkaz:
https://doaj.org/article/c2f65466bb2c4d3da7caf8c94065bd99
Autor:
Jie Yang, Amit Saxena, Kuang Pen Chou, Chin-Teng Lin, Mukesh Prasad, Sheng Yao Su, Xian Tao, Wen-Chieh Lin
Publikováno v:
Multimedia Tools and Applications. 80:16635-16657
Face detection often plays the first step in various visual applications. Large variants of facial deformations due to head movements and facial expression make it difficult to identify appropriate face region. In this paper, a robust real-time face
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3fa7894a78d33b697674a142c816a19
https://doi.org/10.1007/s11042-020-09216-7
https://doi.org/10.1007/s11042-020-09216-7
Autor:
Muhammad Tanveer, Bo-Hao Jin, Mukesh Prasad, Chin-Teng Lin, Kuang-Pen Chou, Wen-Chieh Lin, Shantanu Rajora, Eric-Juwei Cheng, Kuu-Young Young
Publikováno v:
Pattern Recognition Letters. 125:71-77
A bstract This paper proposes a two-layer Convolutional Neural Network (CNN) to learn the high-level features which utilizes to the face identification via sparse representation. Feature extraction plays a vital role in real-world pattern recognition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a31d494bfb0813daeb2264231fcd9ca
https://doi.org/10.1016/j.patrec.2019.03.006
https://doi.org/10.1016/j.patrec.2019.03.006
Publikováno v:
CEC
In this paper, we introduce a self-adaptive artificial bee colony (ABC) algorithm for learning the parameters of a Takagi-Sugeno-Kang-type (TSK-type) neuro-fuzzy system (NFS). The proposed NFS learns fuzzy rules for the premise part of the fuzzy syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::912418b19f1b8e801803add19f8827e8
https://doi.org/10.1109/cec.2019.8790334
https://doi.org/10.1109/cec.2019.8790334
Publikováno v:
ISPACS
In this paper, we propose a kind of pre-processing method which can be applied to the depth learning method for the characteristics of aerial image. This method combines the color and spatial information to do the quick background filtering. In addit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59c7d250360a682844065644f1e53cfa
https://doi.org/10.1109/ispacs.2017.8266571
https://doi.org/10.1109/ispacs.2017.8266571
Autor:
Dinesh Kumar Vishwakarma, Ping-Hung Chen, Kuang-Pen Chou, Deepak Puthal, Wen-Chieh Lin, Mukesh Prasad, Suresh Sundarami, Chin-Teng Lin
Publikováno v:
SSCI
This paper proposes a novel Fast Deformable Model for Pedestrian Detection (FDMPD) to detect the pedestrians efficiently and accurately in the crowded environment. Despite of multiple detection methods available, detection becomes difficult due to va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd0bf7498600b35fb799b6b645bac180
https://doi.org/10.1109/ssci.2017.8280931
https://doi.org/10.1109/ssci.2017.8280931
Autor:
Sharmi Sankar, Deepak Gupta, Chin-Teng Lin, Ting-Wei Xu, Kuang-Pen Chou, Wen-Chieh Lin, Mukesh Prasad, Suresh Sundaram
Publikováno v:
SSCI
Every year the fire disaster always causes a lot of casualties and property damage. Many researchers are involved in the study of related disaster prevention. Early warning systems and stable fire can significantly reduce the damage caused by fire. M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4aee6fe10bfd8a98f263d6ac464fb4b7
https://doi.org/10.1109/ssci.2017.8280933
https://doi.org/10.1109/ssci.2017.8280933
Autor:
Chin-Teng Lin, Yu-Feng Lin, Wen-Chieh Lin, Mukesh Prasad, Kuang-Pen Chou, Farookh Khadeer Hussain, Neha Bharill, Dong-Lin Li
Publikováno v:
Neural Information Processing ISBN: 9783319700892
ICONIP (3)
ICONIP (3)
This paper proposes view-invariant features to address multi-view action recognition for different actions performed in different views. The view-invariant features are obtained from clouds of varying temporal scale by extracting holistic features, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e132c74155eaf308b814c2074eff387
https://doi.org/10.1007/978-3-319-70090-8_56
https://doi.org/10.1007/978-3-319-70090-8_56
Autor:
Kuang-Pen Chou, Yu-Ting Liu, Yang-Yin Lin, Guangquan Zhang, Shang-Lin Wu, Jie Lu, Chin-Teng Lin, Chun-Hsiang Chuang, Wen-Chieh Lin
Publikováno v:
FUZZ-IEEE
A brain-computer interface (BCI) system provides a convenient means of communication between the human brain and a computer, which is applied not only to healthy people but also for people that suffer from motor neuron diseases (MNDs). Motor imagery
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f31cce7309dfe7993019ebefc4942a8
https://doi.org/10.1109/fuzz-ieee.2016.7738007
https://doi.org/10.1109/fuzz-ieee.2016.7738007
Autor:
Jie Lu, Yu-Ting Liu, Kuang-Pen Chou, Shang-Lin Wu, Yang-Yin Lin, Chin-Teng Lin, Wen-Chieh Lin, Guangquan Zhang
Publikováno v:
FUZZ-IEEE
We propose an electroencephalography (EEG) prediction system based on a recurrent fuzzy neural network (RFNN) architecture to assess drivers' fatigue degrees during a virtual-reality (VR) dynamic driving environment. Prediction of fatigue degrees is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5e75ca9f56d711b1fd9574d82f69dd5
https://doi.org/10.1109/fuzz-ieee.2016.7738006
https://doi.org/10.1109/fuzz-ieee.2016.7738006