Zobrazeno 1 - 10
of 19
pro vyhledávání: '"E-Liang Chen"'
Autor:
E-Liang Chen, 陳怡良
87
In recent years, work on neural networks has a rapid growth in both theory and practical applications because of its learning ability, parallel processing and hardware implementability. Among many network architectures, spatiotemporal neural
In recent years, work on neural networks has a rapid growth in both theory and practical applications because of its learning ability, parallel processing and hardware implementability. Among many network architectures, spatiotemporal neural
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/56863944458088050032
Publikováno v:
Biomedical Engineering: Applications, Basis and Communications. 19:415-424
This paper presents a video-based algorithm for fall detection used the modular neural networks with the motion vectors computed by block-based optical flow back-projection (BOFB). From a video sequence, the moving object is extracted first and the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ccd1c143e2f830b5bf15fc7e8529807
https://doi.org/10.4015/s1016237207000525
https://doi.org/10.4015/s1016237207000525
Publikováno v:
Pattern Recognition. 40:2261-2270
The paper presents a new naked image detection algorithm. A learning-based chromatic distribution-matching scheme is proposed to determine the image's skin chroma distribution online such that it can tolerate the chromatic deviation coming from speci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1f9b86d28d23ada6252305b5e73935c
https://doi.org/10.1016/j.patcog.2006.11.016
https://doi.org/10.1016/j.patcog.2006.11.016
Publikováno v:
Pattern Recognition. 40:1066-1077
Motion vector plays one significant feature in moving object segmentation. However, the motion vector in this application is required to represent the actual motion displacement, rather than regions of visually significant similarity. In this paper,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::878cfb6efb5e1dc1a979eb245e5baefe
https://doi.org/10.1016/j.patcog.2006.06.019
https://doi.org/10.1016/j.patcog.2006.06.019
Publikováno v:
Computer Methods and Programs in Biomedicine. 74:151-165
To simulate central auditory responses to complex sounds, a computational model was implemented. It consists of a multi-scale classification process, and an artificial neural network composed of two modules of finite impulse response (FIR) neural net
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9919b1c986a9397921615b965d6d108d
https://doi.org/10.1016/s0169-2607(03)00077-4
https://doi.org/10.1016/s0169-2607(03)00077-4
Publikováno v:
International Journal of Computational Science and Engineering. 15:106
Motion estimation has an important effect in H.265 video coding systems because it occupies a large amount of time in encoding system. So the quality of motion search selection affects the entire encoding efficiency directly. In this paper, a novel s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4587d047929bae25b7eaec4f4dd4dd62
https://doi.org/10.1504/ijcse.2017.086006
https://doi.org/10.1504/ijcse.2017.086006
Publikováno v:
Biomedical Engineering: Applications, Basis and Communications. 13:159-167
In the diagnosis of hepatic diseases, “Contrast-Enhanced Computerized Tomography” (CECT) and “Non-Contrast CT” (NCT) are usually simultaneously adopted. In this paper, a system consisting of a fuzzy diagnosis engine and a feature quantizer, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a572f97fb857fb8866ed9a55e5464da
https://doi.org/10.4015/s1016237201000200
https://doi.org/10.4015/s1016237201000200
Publikováno v:
IEEE Transactions on Signal Processing. 46:1991-2000
In this paper, a spatiotemporal neural network for partially occluded object recognition is presented. The system consists of two major components: a feature extraction process and a spatiotemporal modular neural network. The former is made up of a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f10b287b1d7ab1f389c614c80034a48c
https://doi.org/10.1109/78.700970
https://doi.org/10.1109/78.700970
Publikováno v:
Pattern Recognition. 27:1505-1512
Polygonal approximation plays an important role in pattern recognition and computer vision. In this paper, a parallel method using a Competitive Hopfield Neural Network (CHNN) is proposed for polygonal approximation. Based on the CHNN, the polygonal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec3c3e4709fe02a816672567de40f0a6
https://doi.org/10.1016/0031-3203(94)90128-7
https://doi.org/10.1016/0031-3203(94)90128-7
Autor:
Yen Kuang Yang, Cho-Yan Chen, Pau-Choo Chung, Chi-Keng Wu, Jeen-Shing Wang, E-Liang Chen, Chi-Jen Wang
Publikováno v:
IIH-MSP
Sustained attention is an important requirement when we are doing vigilant works. The detection of whether a worker is in sustained attention stage is important to maintain the safety of the worker. Thus this paper performs classification of sustaine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d1ae6cdd32d39006da86bfc9a9c8c75
https://doi.org/10.1109/iihmsp.2010.187
https://doi.org/10.1109/iihmsp.2010.187