Wenfang Xie

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Wenfang Xie (33)
Guangyi Chen (14)
Adam Krzyźak (5)
Zhijun Fu (5)
Dongdong Zheng (3)
Weidong Luo (3)
Abolfazl Mohebbi (2)
Chunyi Su (2)
Mohammad Keshmiri (2)
Sridhar Krishnan (2)
Han Yao (1)
Iraj Mantegh (1)
Jun Fu (1)
Mohammad Saber Fallah (1)
Rama B Bhat (1)
Salim Ibrir (1)
Subhash Rakheja (1)
Y Q Zhu (1)
Yiu Kwong Wong (1)
Z Y Zhao (1)

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Neurocomputing (5)
Journal of Intelligent and Robotic Systems (2)
Automatica (Journal of IFAC) (1)
Computers and Electronics in Agriculture (1)
Engineering with Computers (1)
Image and Vision Computing (1)
International Journal of Adaptive Control and Signal Processing (1)
International Journal of Systems Science (1)
Journal of Integrated Design & Process Science (1)
Multimedia Tools and Applications (1)

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Advanced Intelligent Computing Technology and Applications (2)
Advances in Neural Networks – ISNN 2014 (2)
Intelligent Computing Theories and Application (2)
Intelligent Computing Theories and Application (2)
2017 IEEE 56th Annual Conference on Decision and Control (CDC) (1)
2021 21st International Conference on Control, Automation and Systems (ICCAS) (1)
ACC'09: Proceedings of the 2009 conference on American Control Conference (1)
ACC'09: Proceedings of the 2009 conference on American Control Conference (1)
Advanced Intelligent Computing Technology and Applications (1)
ICIC'13: Proceedings of the 9th international conference on Intelligent Computing Theories (1)
ICIC'13: Proceedings of the 9th international conference on Intelligent Computing Theories and Technology (1)
ICIRA'12: Proceedings of the 5th international conference on Intelligent Robotics and Applications - Volume Part I (1)
IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society (1)
Intelligent Computing Theories and Application (1)

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Springer-Verlag (14)
Elsevier Science Publishers B. V. (6)
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Kluwer Academic Publishers (3)
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John Wiley & Sons, Inc. (1)
Pergamon Press, Inc. (1)
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Article
Hyperspectral Face Recognition via Existing 2D Face Recognition Methods
- Guang Yi Chen
  https://ror.org/0420zvk78Department of Computer Science and Software Engineering, Concordia University, H3G 1M8, Montreal, QC, Canada
  ,
- Wenfang Xie
  https://ror.org/0420zvk78Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, H3G 1M8, Montreal, QC, Canada
  ,
- Adam Krzyzak
  https://ror.org/0420zvk78Department of Computer Science and Software Engineering, Concordia University, H3G 1M8, Montreal, QC, Canada
Advanced Intelligent Computing Technology and Applications•August 2024, pp 12-22• https://doi.org/10.1007/978-981-97-5594-3_2
Abstract
Hyperspectral imaging provides new chances for face recognition by improved discrimination in the spectral dimension. In this paper, we investigate hyperspectral face recognition by studying twenty-four existing 2D face recognition methods in ...
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An Experimental Study on MRI Denoising with Existing Image Denoising Methods
- Guang Yi Chen
  Department of Computer Science and Software Engineering, Concordia University, H3G 1M8, Montreal, QC, Canada
  ,
- Wenfang Xie
  Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, H3G 1M8, Montreal, QC, Canada
  ,
- Adam Krzyzak
  Department of Computer Science and Software Engineering, Concordia University, H3G 1M8, Montreal, QC, Canada
Advanced Intelligent Computing Technology and Applications•August 2023, pp 429-437• https://doi.org/10.1007/978-981-99-4742-3_35
Abstract
In this paper, we perform a systematical study on existing 2D denoising methods for reducing the noise in magnetic resonance imaging (MRI). We conduct experiments on six MRI images with the following denoising methods: wiener2, wavelet-based ...
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Improved Blind Image Denoising with DnCNN
- Guang Yi Chen
  Department of Computer Science and Software Engineering, Concordia University, H3G 1M8, Montreal, QC, Canada
  ,
- Wenfang Xie
  Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, H3G 1M8, Montreal, QC, Canada
  ,
- Adam Krzyzak
  Department of Computer Science and Software Engineering, Concordia University, H3G 1M8, Montreal, QC, Canada
Advanced Intelligent Computing Technology and Applications•August 2023, pp 263-271• https://doi.org/10.1007/978-981-99-4742-3_21
Abstract
Denoising convolutional neural networks (DnCNN) has been proposed recently for image denoising for additive white Gaussian noise with both blind and non-blind versions. For blind DnCNN, the networks are trained with noise levels from 0 to 55, ...
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Dandelion segmentation with background transfer learning and RGB-attention module
- Jiacai Liao
  College of Automotive and Mechanical Engineering, Changsha University of Science & Technology, Changsha, 410114 Hunan, China
  The State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Yuelu District, Changsha, 410082 ,Hunan, China
  ,
- Ibrahim Babiker
  The Department of Mechanical, Industrial & Aerospace Engineering, Concordia University, Montreal, QC, Canada
  ,
- Wen-fang Xie
  The Department of Mechanical, Industrial & Aerospace Engineering, Concordia University, Montreal, QC, Canada
  ,
- Wei Li
  The State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Yuelu District, Changsha, 410082 ,Hunan, China
  ,
- Libo Cao
  The State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Yuelu District, Changsha, 410082 ,Hunan, China
Computers and Electronics in Agriculture, Volume 202, Issue C•Nov 2022 • https://doi.org/10.1016/j.compag.2022.107355
Highlights

Different datasets are utilized to learn segment complex background information.
Abstract
Automatic weed control using weeding robots has arisen as a promising alternative for reducing the amount of herbicide applied in the agriculture and landscaping industry. Dandelion detection is a challenging task for weeding robots. ...
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A Systematic Study for the Effects of PCA on Hyperspectral Imagery Denoising
- Guang Yi Chen
  Department of Computer Science and Software Engineering, Concordia University, H3G 1M8, Montreal, QC, Canada
  ,
- Wen Fang Xie
  Department of Mechanical and Industrial Engineering, Concordia University, H3G 1M8, Montreal, QC, Canada
Intelligent Computing Theories and Application•August 2022, pp 420-429• https://doi.org/10.1007/978-3-031-13870-6_35
Abstract
In this paper, we conduct a study for the effects of principal component analysis (PCA) on hyperspectral imagery denoising. Our previous works combined PCA with wavelet shrinkage, block matching and 3D filtering (BM3D), and block matching and 4D ...
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Article
Illumination Invariant Face Recognition Using Directional Gradient Maps
- Guang Yi Chen
  Department of Computer Science and Software Engineering, Concordia University, H3G 1M8, Montreal, QC, Canada
  ,
- Wenfang Xie
  Department of Mechanical and Industrial Engineering, Concordia University, H3G 1M8, Montreal, QC, Canada
  ,
- Adam Krzyzak
  Department of Computer Science and Software Engineering, Concordia University, H3G 1M8, Montreal, QC, Canada
Intelligent Computing Theories and Application•August 2022, pp 330-338• https://doi.org/10.1007/978-3-031-13870-6_27
Abstract
Face recognition under varying illumination is a difficult problem in many real-life applications. Various methods have been developed in the literature to deal with this problem. In this paper, we propose a new method for face recognition under ...
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Adaptive multi-tracker optimization algorithm for global optimization problems: emphasis on applications in chemical engineering
- Habibeh Khosravi
  Department of Chemical Engineering, University of Mazandaran, Babolsar, Iran
  ,
- Ehsan Zakeri
  Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, Canada
  ,
- Wen-Fang Xie
  Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, Canada
  ,
- Bahar Ahmadi
  Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, Canada
Engineering with Computers, Volume 38, Issue 2•Apr 2022, pp 1309-1336 • https://doi.org/10.1007/s00366-020-01101-z
Abstract
This paper presents an adaptive multi-tracker optimization algorithm (AMTOA) for global optimization problems with an emphasis on applications in chemical engineering. To obtain the AMTOA, first, several modifications are performed on the ... $_{}$ $_{}$ $_{}$ $_{}$
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Hyperspectral face recognition with histogram of oriented gradient features and collaborative representation-based classifier
- Guang Yi Chen
  Department of Computer Science and Software Engineering, Concordia University, H3G 1M8, Montreal, QC, Canada
  ,
- Adam Krzyzak
  Department of Computer Science and Software Engineering, Concordia University, H3G 1M8, Montreal, QC, Canada
  ,
- Wen Fang Xie
  Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, H3G 1M8, Montreal, QC, Canada
Multimedia Tools and Applications, Volume 81, Issue 2•Jan 2022, pp 2299-2310 • https://doi.org/10.1007/s11042-021-11691-5
Abstract
Hyperspectral face recognition plays an important role in remote sensing. However, it faces many challenges such as difficulty in data acquisition, low signal to noise ratio (SNR), and high dimensionality. In this paper, we develop a novel method ...
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Integrated Emergency Self-Landing Method for Autonomous UAS in Urban Aerial Mobility
- Bingze Xia
  Concordia University,Department of Mechanical and Industrial Engineering,Montreal,Canada,H3G 1M8
  ,
- Iraj Mantegh
  National Research Council of Canada,Montreal,Canada,H3T 2B2
  ,
- Wenfang Xie
  Concordia University,Department of Mechanical and Industrial Engineering,Montreal,Canada,H3G 1M8
2021 21st International Conference on Control, Automation and Systems (ICCAS)•October 2021, pp 275-282• https://doi.org/10.23919/ICCAS52745.2021.9649955
Applications of Unmanned Aircraft Systems (UAS) are growing fast in many areas, including Advanced Air Mobility (AAM) which requires the safe integration of aerial vehicles in an airspace that is shared by many other operators. Autonomous or automated UAS ...
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Hyperspectral Image Classification with Locally Linear Embedding, 2D Spatial Filtering, and SVM
- Guang Yi Chen
  Department of Computer Science and Software Engineering, Concordia University, H3G 1M8, Montreal, QC, Canada
  ,
- Wen Fang Xie
  Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, H3G 1M8, Montreal, QC, Canada
  ,
- Shen-En Qian
  Space Science and Technology, Canadian Space Agency, J3Y 8Y9, St-Hubert, QC, Canada
Intelligent Computing Theories and Application•August 2021, pp 151-159• https://doi.org/10.1007/978-3-030-84522-3_12
Abstract
In this paper, we propose a novel algorithm for hyperspectral image (HSI) classification. We use locally linear embedding (LLE) to reduce the dimensionality of the data cube, 2D spatial filtering on the LLE output band images, and support vector ...
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A Comparable Study on Dimensionality Reduction Methods for Endmember Extraction
- Guangyi Chen
  Department of Computer Science and Software Engineering, Concordia University, H3G 1M8, Montreal, QC, Canada
  ,
- Wenfang Xie
  Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, H3G 1M8, Montreal, QC, Canada
Intelligent Computing Theories and Application•August 2021, pp 143-150• https://doi.org/10.1007/978-3-030-84522-3_11
Abstract
Endmember extraction is widely used to detect spectrally unique signatures of pure ground materials in hyperspectral imagery (HSI). In this paper, we study which method is good for reducing the dimensionality of the input data cubes for endmember ...
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Dynamic Visual Servoing of A 6-RSS Parallel Robot Based on Optical CMM
- Pengcheng Li
  College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, No. 29, Yudao Street, Qinhuai District, 210016, Nanjing, China
  ,
- Tingting Shu
  Department of Mechanical, Industrial, Aerospace Engineering, Concordia University, 1455 De Maisonneuve Blvd. W. Montreal, H3G 1M8, Quebec, Canada
  ,
- Wen-Fang Xie
  Department of Mechanical, Industrial, Aerospace Engineering, Concordia University, 1455 De Maisonneuve Blvd. W. Montreal, H3G 1M8, Quebec, Canada
  ,
- Wei Tian
  College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, No. 29, Yudao Street, Qinhuai District, 210016, Nanjing, China
Journal of Intelligent and Robotic Systems, Volume 102, Issue 2•Jun 2021 • https://doi.org/10.1007/s10846-021-01402-5
Abstract
The parallel robots exhibit some outstanding properties on the repeatability, stiffness and force-to-weight ratio compared with serial robots. 6-DOF parallel robots have been utilized in various applications and the research on control design has ...
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Noise Robust Illumination Invariant Face Recognition via Contourlet Transform in Logarithm Domain
- Guangyi Chen
  Department of Computer Science and Software Engineering, Concordia University, H3G 1M8, Montreal, QC, Canada
  ,
- Wenfang Xie
  Department of Mechanical and Industrial Engineering, Concordia University, H3G 1M8, Montreal, QC, Canada
Intelligent Computing Theories and Application•October 2020, pp 231-240• https://doi.org/10.1007/978-3-030-60799-9_20
Abstract
Face recognition under varying lighting conditions is an important topic in many real-life applications. In this paper, we propose a novel algorithm for illumination invariant face recognition. We first convert the face images to the logarithm ...
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Robust identification for singularly perturbed nonlinear systems using multi-time-scale dynamic neural network
- Dong-Dong Zheng
  Department of Mechanical & Industrial Engineering, Concordia University, Montreal H3G 1M8, Canada
  ,
- Wen-Fang Xie
  Department of Mechanical & Industrial Engineering, Concordia University, Montreal H3G 1M8, Canada
  ,
- Chaomin Luo
  Department of Electrical and Computer Engineering, University of Detroit Mercy, Michigan 48221-3038, USA
2017 IEEE 56th Annual Conference on Decision and Control (CDC)•December 2017, pp 6487-6492• https://doi.org/10.1109/CDC.2017.8264637
In this paper, a novel identification scheme is proposed for a class of singularly perturbed nonlinear systems. In order to identify the unknown singularly perturbed nonlinear system, a set of filtered variables are firstly defined and incorporated into ...
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Enhanced IBVS controller for a 6DOF manipulator using hybrid PD-SMC method
- Shutong Li
  College of Automation, Harbin Engineering University, Harbin, China
  ,
- Wenfang Xie
  Department of Mechanical and Industrial Engineering, Concordia University, Montreal, Canada
  ,
- Yanbin Gao
  College of Automation, Harbin Engineering University, Harbin, China
IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society•October 2017, pp 2852-2857• https://doi.org/10.1109/IECON.2017.8216481
The accuracy and stability are two fundamental concerns of the visual servoing control system. This paper presents an enhanced image based visual servoing (IBVS) method which can increase the accuracy of visual servoing with guaranteed stability. The ...
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Adaptive optimal control of unknown nonlinear systems with different time scales
- Zhi-Jun Fu
  College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310014, China
  ,
- Wen-Fang Xie
  Department of Mechanical and Industrial Engineering, Concordia University, 1455 De Maisonneuve W., Montreal, Quebec H3G 1M8, Canada
  ,
- Subhash Rakheja
  Department of Mechanical and Industrial Engineering, Concordia University, 1455 De Maisonneuve W., Montreal, Quebec H3G 1M8, Canada
  ,
- Dong-Dong Zheng
  Department of Mechanical and Industrial Engineering, Concordia University, 1455 De Maisonneuve W., Montreal, Quebec H3G 1M8, Canada
Neurocomputing, Volume 238, Issue C•May 2017, pp 179-190 • https://doi.org/10.1016/j.neucom.2017.01.052

The adaptive optimal control of unknown nonlinear system with different time scales is considered in this paper. The commonly used singular perturbation theory (SPT) to solve this problem is based on the accurately reduced system model, which is ...
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Robust adaptive nonlinear observer design via multi-time scales neural network
- Zhi-Jun Fu
  College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, 310014, China
  ,
- Wen-Fang Xie
  Department of Mechanical & Industrial Engineering, Concordia University, 1455 De Maisonneuve, Montreal, Quebec, Canada H3G 1M8
  ,
- Jing Na
  Faculty of Mechanical & Electrical Engineering, Kunming University of Science & Technology, Kunming 650500, China
Neurocomputing, Volume 190, Issue C•May 2016, pp 217-225 • https://doi.org/10.1016/j.neucom.2016.01.015

This paper deals with the robust adaptive observer design for nonlinear dynamic systems that have an underlying multiple time-scales structure via different time-scales neural network. The Lyapunov function method is used to develop a novel stable ...
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A Comparative Study of Eye-In-Hand Image-Based Visual Servoing: Stereo vs. Mono
- Abolfazl Mohebbi
  Department of Mechanical Engineering, Ecole Polytechnique de Montreal, Montreal, Canada
  ,
- Mohammad Keshmiri
  Department of Mechanical and Industrial Engineering, Concordia University, Montreal, Canada
  ,
- Wenfang Xie
  Department of Mechanical and Industrial Engineering, Concordia University, Montreal, Canada
Journal of Integrated Design & Process Science, Volume 19, Issue 3•Jan 2016, pp 25-54 • https://doi.org/10.3233/jid-2015-0006

Visual control of manipulators provides significant advantages when working with targets with unknown positions. Among all visual servoing categories, the stereo visual servoing has shown to be very effective when dealing with unstructured environments. ...
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Neural Network-Based Image Moments for Robotic Visual Servoing
- Yi-Min Zhao
  Department of Mechanical and Industrial Engineering, Concordia University, Montreal, Canada
  ,
- Wen-Fang Xie
  Department of Mechanical and Industrial Engineering, Concordia University, Montreal, Canada
  ,
- Sining Liu
  Department of Mechanical and Industrial Engineering, Concordia University, Montreal, Canada
  ,
- Tingting Wang
  Department of Mechanical and Electrical Engineering, Hohai University, Changzhou, China 214122
Journal of Intelligent and Robotic Systems, Volume 78, Issue 2•May 2015, pp 239-256 • https://doi.org/10.1007/s10846-014-0065-2

This paper applies two Neural Network (NN)-based image features Zhao et al. (2012) to solve the problem of decoupling the rotational velocities around x and y axes of camera frame in robotic visual servoing systems. Based on these two image features and ...
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Indirect adaptive control of nonlinear system via dynamic multilayer neural networks with multi-time scales
- Dong-Dong Zheng
  Concordia University, Mechanical Industrial Engineering, 1455 De Maisonneuve, Montreal, QC, Canada H3G 1M8
  ,
- Zhi-Jun Fu
  Zhejiang University of Technology, College of Mechanical Engineering, Hangzhou, 310014, China
  ,
- Wen-Fang Xie
  Concordia University, Mechanical Industrial Engineering, 1455 De Maisonneuve, Montreal, QC, Canada H3G 1M8
  ,
- Wei-Dong Luo
  University of Science and Technology Beijing, School of Mechanical Engineering, 30 Xueyuan Road, Haidian District, Beijing, 100083, China
International Journal of Adaptive Control and Signal Processing, Volume 29, Issue 4•April 2015, pp 505-523 • https://doi.org/10.1002/acs.2491

This paper deals with adaptive nonlinear identification and trajectory tracking problem via dynamic multilayer neural network with different time scales. By means of a Lyapunov-like analysis, we determine stability conditions for the on-line ...
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The Service can be applied to all the articles you have ever published with ACM.

Depending on your previous activities within the ACM DL, you may need to take up to three steps to use ACM Author-Izer.

For authors who do not have a free ACM Web Account:

Go to the ACM DL http://dl.acm.org/ and click SIGN UP. Once your account is established, proceed to next step.

For authors who have an ACM web account, but have not edited their ACM Author Profile page:

Sign in to your ACM web account and go to your Author Profile page. Click "Add personal information" and add photograph, homepage address, etc. Click ADD AUTHOR INFORMATION to submit change. Once you receive email notification that your changes were accepted, you may utilize ACM Author-izer.

For authors who have an account and have already edited their Profile Page:

Sign in to your ACM web account, go to your Author Profile page in the Digital Library, look for the ACM Author-izer link below each ACM published article, and begin the authorization process. If you have published many ACM articles, you may find a batch Authorization process useful. It is labeled: "Export as: ACM Author-Izer Service"

ACM Author-Izer also provides code snippets for authors to display download and citation statistics for each “authorized” article on their personal pages. Downloads from these pages are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to the definitive version of ACM articles should reduce user confusion over article versioning.

Note: You still retain the right to post your author-prepared preprint versions on your home pages and in your institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library. But any download of your preprint versions will not be counted in ACM usage statistics. If you use these AUTHOR-IZER links instead, usage by visitors to your page will be recorded in the ACM Digital Library and displayed on your page.

FAQ

Q. What is ACM Author-Izer?
A. ACM Author-Izer is a unique, link-based, self-archiving service that enables ACM authors to generate and post links on either their home page or institutional repository for visitors to download the definitive version of their articles for free.
Q. What articles are eligible for ACM Author-Izer?
A. ACM Author-Izer can be applied to all the articles authors have ever published with ACM. It is also available to authors who will have articles published in ACM publications in the future.

Q. Are there any restrictions on authors to use this service?
A. No. An author does not need to subscribe to the ACM Digital Library nor even be a member of ACM.

Q. What are the requirements to use this service?
A. To access ACM Author-Izer, authors need to have a free ACM web account, must have an ACM Author Profile page in the Digital Library, and must take ownership of their Author Profile page.

Q. What is an ACM Author Profile Page?
A. The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM Digital Library. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community. Please visit the ACM Author Profile documentation page for more background information on these pages.

Q. How do I find my Author Profile page and take ownership?
A. You will need to take the following steps:
- Create a free ACM Web Account
- Sign-In to the ACM Digital Library
- Find your Author Profile Page by searching the ACM Digital Library for your name
- Find the result you authored (where your author name is a clickable link)
- Click on your name to go to the Author Profile Page
- Click the "Add Personal Information" link on the Author Profile Page
- Wait for ACM review and approval; generally less than 24 hours

Q. Why does my photo not appear?
A. Make sure that the image you submit is in .jpg or .gif format and that the file name does not contain special characters

Q. What if I cannot find the Add Personal Information function on my author page?
A. The ACM account linked to your profile page is different than the one you are logged into. Please logout and login to the account associated with your Author Profile Page.

Q. What happens if an author changes the location of his bibliography or moves to a new institution?
A. Should authors change institutions or sites, they can utilize ACM Author-Izer to disable old links and re-authorize new links for free downloads from a new location.

Q. What happens if an author provides a URL that redirects to the author’s personal bibliography page?
A. The service will not provide a free download from the ACM Digital Library. Instead the person who uses that link will simply go to the Citation Page for that article in the ACM Digital Library where the article may be accessed under the usual subscription rules.

However, if the author provides the target page URL, any link that redirects to that target page will enable a free download from the Service.

Q. What happens if the author’s bibliography lives on a page with several aliases?
A. Only one alias will work, whichever one is registered as the page containing the author’s bibliography. ACM has no technical solution to this problem at this time.

Q. Why should authors use ACM Author-Izer?
A. ACM Author-Izer lets visitors to authors’ personal home pages download articles for no charge from the ACM Digital Library. It allows authors to dynamically display real-time download and citation statistics for each “authorized” article on their personal site.

Q. Does ACM Author-Izer provide benefits for authors?
A. Downloads of definitive articles via Author-Izer links on the authors’ personal web page are captured in official ACM statistics to more accurately reflect usage and impact measurements.

Authors who do not use ACM Author-Izer links will not have downloads from their local, personal bibliographies counted. They do, however, retain the existing right to post author-prepared preprint versions on their home pages or institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library.

Q. How does ACM Author-Izer benefit the computing community?
A. ACM Author-Izer expands the visibility and dissemination of the definitive version of ACM articles. It is based on ACM’s strong belief that the computing community should have the widest possible access to the definitive versions of scholarly literature. By linking authors’ personal bibliography with the ACM Digital Library, user confusion over article versioning should be reduced over time.

In making ACM Author-Izer a free service to both authors and visitors to their websites, ACM is emphasizing its continuing commitment to the interests of its authors and to the computing community in ways that are consistent with its existing subscription-based access model.

Q. How do authors access ACM Author-Izer?
A. See How to Use

Q. Why can’t I find my most recent publication in my ACM Author Profile Page?
A. There is a time delay between publication and the process which associates that publication with an Author Profile Page. Right now, that process usually takes 4-8 weeks.

Q. How does ACM Author-Izer expand ACM’s “Green Path” Access Policies?
A. ACM Author-Izer extends the rights and permissions that authors retain even after copyright transfer to ACM, which has been among the “greenest” publishers. ACM enables its author community to retain a wide range of rights related to copyright and reuse of materials. They include:
- Posting rights that ensure free access to their work outside the ACM Digital Library and print publications
- Rights to reuse any portion of their work in new works that they may create
- Copyright to artistic images in ACM’s graphics-oriented publications that authors may want to exploit in commercial contexts
- All patent rights, which remain with the original owner

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Hyperspectral Face Recognition via Existing 2D Face Recognition Methods

An Experimental Study on MRI Denoising with Existing Image Denoising Methods

Improved Blind Image Denoising with DnCNN

Dandelion segmentation with background transfer learning and RGB-attention module

A Systematic Study for the Effects of PCA on Hyperspectral Imagery Denoising

Illumination Invariant Face Recognition Using Directional Gradient Maps

Adaptive multi-tracker optimization algorithm for global optimization problems: emphasis on applications in chemical engineering

Hyperspectral face recognition with histogram of oriented gradient features and collaborative representation-based classifier

Integrated Emergency Self-Landing Method for Autonomous UAS in Urban Aerial Mobility

Hyperspectral Image Classification with Locally Linear Embedding, 2D Spatial Filtering, and SVM

A Comparable Study on Dimensionality Reduction Methods for Endmember Extraction

Dynamic Visual Servoing of A 6-RSS Parallel Robot Based on Optical CMM

Noise Robust Illumination Invariant Face Recognition via Contourlet Transform in Logarithm Domain

Robust identification for singularly perturbed nonlinear systems using multi-time-scale dynamic neural network

Enhanced IBVS controller for a 6DOF manipulator using hybrid PD-SMC method

Adaptive optimal control of unknown nonlinear systems with different time scales

Robust adaptive nonlinear observer design via multi-time scales neural network

A Comparative Study of Eye-In-Hand Image-Based Visual Servoing: Stereo vs. Mono

Neural Network-Based Image Moments for Robotic Visual Servoing

Indirect adaptive control of nonlinear system via dynamic multilayer neural networks with multi-time scales