Academic literature on the topic 'Face verification'

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Journal articles on the topic "Face verification"

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Zhang, Xue Zhi, Xiao Kang Tang, Qiong Zou, Yong Zhen Zhang, and Da Wei Zhang. "Video Based Face Verification." Applied Mechanics and Materials 556-562 (May 2014): 4893–96. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.4893.

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A method of PCA face verification based fuzzy membership is proposed. Constructing the face gallery set through video streaming, using principal component analysis to feature extraction and designing a classifier based fuzzy membership. To verify face in accordance with the threshold principle of fuzzy pattern recognition. The method is compared to the method of PCA face verification, experimental results shows that the proposed method has higher accuracy and robustness.
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Chmielińska, Jolanta, and Jacek Jakubowski. "Biometrical driver face verification." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 19, no. 6 (2018): 68–72. http://dx.doi.org/10.24136/atest.2018.039.

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The paper discusses the problem of face verification in a driver monitoring system for the purpose of traffic safety. Two different methods of face verification were proposed. Both of them are based on a convolutional neural network and were developed with the use of a transfer learning technique. In the paper, the results produced by both proposed method have been presented and compared. Moreover, their advantages and disadvantages have been discussed.
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BEBIS, GEORGE, SATISHKUMAR UTHIRAM, and MICHAEL GEORGIOPOULOS. "FACE DETECTION AND VERIFICATION USING GENETIC SEARCH." International Journal on Artificial Intelligence Tools 09, no. 02 (2000): 225–46. http://dx.doi.org/10.1142/s0218213000000161.

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We consider the problem of searching for the face of a particular individual in a two-dimensional intensity image. This problem has many potential applications such as locating a person in a crowd using images obtained by surveillance cameras. There are two steps in solving this problem: first, face regions must be extracted from the image(s) (face detection) and second, candidate faces must be compared against a face of interest (face verification). Without any a-priori knowledge about the location and size of a face in an image, every possible image location and face size should be considere
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Grudzień, Artur, Marcin Kowalski, and Norbert Pałka. "Thermal Face Verification through Identification." Sensors 21, no. 9 (2021): 3301. http://dx.doi.org/10.3390/s21093301.

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This paper reports on a new approach to face verification in long-wavelength infrared radiation. Two face images were combined into one double image, which was then used as an input for a classification based on neural networks. For testing, we exploited two external and one homemade thermal face databases acquired in various variants. The method is reported to achieve a true acceptance rate of about 83%. We proved that the proposed method outperforms other studied baseline methods by about 20 percentage points. We also analyzed the issue of extending the performance of algorithms. We believe
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Manda, Bappaditya, Xudong Jiang, and Alex Kot. "Face Verification Using Modeled Eigenspectrum." Open Artificial Intelligence Journal 2, no. 1 (2008): 35–45. http://dx.doi.org/10.2174/1874061800802010035.

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Face verification is different from face identification task. Some traditional subspace methods that work well in face identification may suffer from severe over-fitting problem when applied for the verification task. Conventional discriminative methods such as linear discriminant analysis (LDA) and its variants are highly sensitive to the training data, which hinders them from achieving high verification accuracy. This work proposes an eigenspectrum model that alleviates the over-fitting problems by replacing the unreliable small and zero eigenvalues with the model values. It also enables the
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Sao, Anil Kumar, and B. Yegnanarayana. "Face Verification Using Template Matching." IEEE Transactions on Information Forensics and Security 2, no. 3 (2007): 636–41. http://dx.doi.org/10.1109/tifs.2007.902920.

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Troncoso-Pastoriza, J. R., D. Gonzalez-Jimenez, and F. Perez-Gonzalez. "Fully Private Noninteractive Face Verification." IEEE Transactions on Information Forensics and Security 8, no. 7 (2013): 1101–14. http://dx.doi.org/10.1109/tifs.2013.2262273.

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Matas, J., K. Jonsson, and J. Kittler. "Fast face localisation and verification." Image and Vision Computing 17, no. 8 (1999): 575–81. http://dx.doi.org/10.1016/s0262-8856(98)00176-0.

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Jang, Jun-Su, Kuk-Hyun Han, and Jong-Hwan Kim. "Evolutionary algorithm-based face verification." Pattern Recognition Letters 25, no. 16 (2004): 1857–65. http://dx.doi.org/10.1016/j.patrec.2004.08.013.

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Dhomne, Amit, and Pankaj Kumar Sa. "Face Verification Using Deep Learning." JIMS8I � International Journal of Information Communication and Computing Technology 6, no. 1 (2018): 332. http://dx.doi.org/10.5958/2347-7202.2018.00003.8.

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Dissertations / Theses on the topic "Face verification"

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Romano, Raquel Andrea. "Real-time face verification." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/36649.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.<br>Includes bibliographical references (p. 57-59).<br>by Raquel Andrea Romano.<br>M.S.
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Short, J. "Illumination invariance for face verification." Thesis, University of Surrey, 2006. http://epubs.surrey.ac.uk/843404/.

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The task of face verification is made more difficult when the illumination conditions of image capture are not constrained. The differences in illumination conditions between the stored images of the client and the probe image can be lessened by the application of photometric normalisation. Photometric normalisation is the method of pre-processing an image to a representation that is robust to the illumination conditions of image capture. This thesis presents experiments comparing several photometric normalisation methods. The results demonstrate that the anisotropic smoothing pre-processing a
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McCool, Christopher Steven. "Hybrid 2D and 3D face verification." Thesis, Queensland University of Technology, 2007. https://eprints.qut.edu.au/16436/1/Christopher_McCool_Thesis.pdf.

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Face verification is a challenging pattern recognition problem. The face is a biometric that, we as humans, know can be recognised. However, the face is highly deformable and its appearance alters significantly when the pose, illumination or expression changes. These changes in appearance are most notable for texture images, or two-dimensional (2D) data. But the underlying structure of the face, or three dimensional (3D) data, is not changed by pose or illumination variations. Over the past five years methods have been investigated to combine 2D and 3D face data to improve the acc
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McCool, Christopher Steven. "Hybrid 2D and 3D face verification." Queensland University of Technology, 2007. http://eprints.qut.edu.au/16436/.

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Face verification is a challenging pattern recognition problem. The face is a biometric that, we as humans, know can be recognised. However, the face is highly deformable and its appearance alters significantly when the pose, illumination or expression changes. These changes in appearance are most notable for texture images, or two-dimensional (2D) data. But the underlying structure of the face, or three dimensional (3D) data, is not changed by pose or illumination variations. Over the past five years methods have been investigated to combine 2D and 3D face data to improve the accuracy an
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Bourlai, Thirimachos. "Designing a smart card face verification system." Thesis, University of Surrey, 2006. http://epubs.surrey.ac.uk/843504/.

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This thesis describes a face verification system that is smart-card-based. The objectives were to identify the key parameters that affect the design of such a system, to investigate die general optimisation problem and test its robustness when each key parameter is optimised. Some of these parameters have been coarsely investigated in the literature in the context of the general face recognition problem. However, the previous work only partially fulfilled the requirements of a smart-card-based system, in which the severe engineering constraints and limitations imposed by smart cards have to be
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Sanderson, Conrad, and conradsand@ieee org. "Automatic Person Verification Using Speech and Face Information." Griffith University. School of Microelectronic Engineering, 2003. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20030422.105519.

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Identity verification systems are an important part of our every day life. A typical example is the Automatic Teller Machine (ATM) which employs a simple identity verification scheme: the user is asked to enter their secret password after inserting their ATM card; if the password matches the one prescribed to the card, the user is allowed access to their bank account. This scheme suffers from a major drawback: only the validity of the combination of a certain possession (the ATM card) and certain knowledge (the password) is verified. The ATM card can be lost or stolen, and the password can be
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Sanderson, Conrad. "Automatic Person Verification Using Speech and Face Information." Thesis, Griffith University, 2003. http://hdl.handle.net/10072/367191.

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Identity verification systems are an important part of our every day life. A typical example is the Automatic Teller Machine (ATM) which employs a simple identity verification scheme: the user is asked to enter their secret password after inserting their ATM card; if the password matches the one prescribed to the card, the user is allowed access to their bank account. This scheme suffers from a major drawback: only the validity of the combination of a certain possession (the ATM card) and certain knowledge (the password) is verified. The ATM card can be lost or stolen, and the password can be
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Jonsson, K. T. "Robust correlation and support vector machines for face identification." Thesis, University of Surrey, 2000. http://epubs.surrey.ac.uk/799/.

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Ramos, Sanchez M. Ulises. "Aspects of facial biometrics for verification of personal identity." Thesis, University of Surrey, 2000. http://epubs.surrey.ac.uk/792194/.

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Tan, Teewoon. "HUMAN FACE RECOGNITION BASED ON FRACTAL IMAGE CODING." University of Sydney. Electrical and Information Engineering, 2004. http://hdl.handle.net/2123/586.

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Human face recognition is an important area in the field of biometrics. It has been an active area of research for several decades, but still remains a challenging problem because of the complexity of the human face. In this thesis we describe fully automatic solutions that can locate faces and then perform identification and verification. We present a solution for face localisation using eye locations. We derive an efficient representation for the decision hyperplane of linear and nonlinear Support Vector Machines (SVMs). For this we introduce the novel concept of $\rho$ and $\eta$ prototypes
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Books on the topic "Face verification"

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Jonathon, Phillips P., Moon Hyeonjoon, and National Institute of Standards and Technology (U.S.), eds. The FERET verification testing protocol for face recognition algorithms. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1998.

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Mezaris, Vasileios, Lyndon Nixon, Symeon Papadopoulos, and Denis Teyssou, eds. Video Verification in the Fake News Era. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26752-0.

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Office, General Accounting. Welfare eligibility: Deficit Reduction Act income verification issues : fact sheet for the ranking minority member, Subcommittee on Oversight of Government Management, Committee on Governmental Affairs, United States Senate. The Office, 1987.

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Office, General Accounting. Welfare eligibility: Deficit Reduction Act income verification issues : fact sheet for the ranking minority member, Subcommittee on Oversight of Government Management, Committee on Governmental Affairs, United States Senate. The Office, 1987.

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Office, General Accounting. Welfare eligibility: Deficit Reduction Act income verification issues : fact sheet for the ranking minority member, Subcommittee on Oversight of Government Management, Committee on Governmental Affairs, United States Senate. The Office, 1987.

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Lu, Jiwen, and Haibin Yan. Facial Kinship Verification: A Machine Learning Approach. Springer, 2017.

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Ángel Serrano Sánchez de León. Face Recognition and Verification with Gabor Filters. Editorial Dykinson, S.L., 2012.

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Ángel Serrano Sánchez de León. Face Recognition and Verification with Gabor Filters. Editorial Dykinson, S.L., 2012.

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Ángel Serrano Sánchez de León. Face Recognition and Verification with Gabor Filters. Editorial Dykinson, S.L., 2012.

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Ángel Serrano Sánchez de León. Face Recognition and Verification with Gabor Filters. Editorial Dykinson, S.L., 2012.

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Book chapters on the topic "Face verification"

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Lin, Liang, Dongyu Zhang, Ping Luo, and Wangmeng Zuo. "Face Verification." In Human Centric Visual Analysis with Deep Learning. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-2387-4_9.

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Bredin, Hervé, Aurélien Mayoue, and Gérard Chollet. "Talking-face Verification." In Guide to Biometric Reference Systems and Performance Evaluation. Springer London, 2009. http://dx.doi.org/10.1007/978-1-84800-292-0_10.

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Zhang, David, and Guangming Lu. "3D Face Verification System." In 3D Biometrics. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7400-5_14.

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Mohd Zainal, Mohd Ridzuwary, Hafizah Husain, Salina Abdul Samad, and Aini Hussain. "Face Verification Using Multiple Localized Face Features." In Advances in Visual Informatics. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02958-0_9.

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Short, James, Josef Kittler, and Kieron Messer. "Photometric Normalisation for Face Verification." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11527923_64.

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Kittler, J., Y. P. Li, J. Matas, and M. U. Ramos Sánchez. "Lip-shape dependent face verification." In Audio- and Video-based Biometric Person Authentication. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0015980.

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Salimi, Fahimeh, Mohammad T. Sadeghi, Mohammad S. Moin, and Josef Kittler. "Face Verification Using Colour Kernels." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02611-9_52.

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Christiansen, Eric, Iljung S. Kwak, Serge Belongie, and David Kriegman. "Face Box Shape and Verification." In Advances in Visual Computing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41914-0_54.

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Smiatacz, Maciej. "Subspace Algorithms for Face Verification." In Computer Recognition Systems 4. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20320-6_3.

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Lu, Xiaojun, Yang Wang, Weilin Zhang, Song Ding, and Wuming Jiang. "Deep CNNs for Face Verification." In Biometric Recognition. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46654-5_10.

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Conference papers on the topic "Face verification"

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Bai, Ruwen, Lin Shi, Shuo Liu, and Jie Chen. "Research on Standard Verification Reference Model for Fake Face Forensics." In 2024 9th International Conference on Signal and Image Processing (ICSIP). IEEE, 2024. http://dx.doi.org/10.1109/icsip61881.2024.10671461.

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Fournier-Montgieux, Alexandre, Michaël Soumm, Adrian Popescu, Bertrand Luvison, and Hervé Le Borgne. "Fairer Analysis and Demographically Balanced Face Generation for Fairer Face Verification." In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, 2025. https://doi.org/10.1109/wacv61041.2025.00276.

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Hashmi, Huma, Hamza Ahmed, Rana Ali Ahmar, Muhammad Ibrahim Syed, Khurram Khan, and Zahid Mahmood. "Towards Electronic Voting Using Face Verification Technology." In 2024 19th International Conference on Emerging Technologies (ICET). IEEE, 2024. https://doi.org/10.1109/icet63392.2024.10935228.

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Lin, Chen, Zhouyingcheng Liao, Peng Zhou, Jianguo Hu, and Bingbing Ni. "Live Face Verification with Multiple Instantialized Local Homographic Parameterization." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/113.

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State-of-the-art live face verification methods would easily be attacked by recorded facial expression sequence. This work directly addresses this issue via proposing a patch-wise motion parameterization based verification network infrastructure. This method directly explores the underlying subtle motion difference between the facial movements re-captured from a planer screen (e.g., a pad) and those from a real face; therefore interactive facial expression is no longer required. Furthermore, inspired by the fact that ?a fake facial movement sequence MUST contains many patch-wise fake sequences
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Du, Liang, and Haibin Ling. "Cross-age face verification by coordinating with cross-face age verification." In 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2015. http://dx.doi.org/10.1109/cvpr.2015.7298846.

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Khanna, Alankrit, Anisha Thakur, Aprajita Tewari, and Aruna Bhat. "CROSS-AGE FACE VERIFICATION USING FACE AGING." In IPMV 2020: 2020 2nd International Conference on Image Processing and Machine Vision. ACM, 2020. http://dx.doi.org/10.1145/3421558.3421573.

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Kittler, J., R. Ghaderi, T. Windeatt, and J. Matas. "Face Verification via ECOC." In British Machine Vision Conference 2001. British Machine Vision Association, 2001. http://dx.doi.org/10.5244/c.15.61.

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Hu, Junlin, Yongxin Ge, Jiwen Lu, and Xin Feng. "Makeup-robust face verification." In ICASSP 2013 - 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2013. http://dx.doi.org/10.1109/icassp.2013.6638073.

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Hong, Wei, Haizhou Ai, Li Zhuang, and Guang-you Xu. "Video-based face verification." In Multispectral Image Processing and Pattern Recognition, edited by Tianxu Zhang, Bir Bhanu, and Ning Shu. SPIE, 2001. http://dx.doi.org/10.1117/12.441443.

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Costa, Filipe, Marcos Vinícius L. Melo, Igor Gadelha, Guilherme Fôlego, Larissa Gambaro, and André Rodrigues. "Self-portrait to ID Document face matching: CNN-Based face verification in cross-domain scenario." In Workshop de Visão Computacional. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/wvc.2021.18885.

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Face verification approaches determine whether two given faces are from the same person. Recently, a new demand for face verification application which has become popular in commercial applications is the self-portrait and ID face matching, in which we compare the faces of a selfie shot by a subject and the face in a picture of her identification document. In this work, we proposed a novel approach for face verification in a cross-domain scenario, assuming we have only two images for each subject in the dataset. The method is based on siamese architecture with triplet-loss function. Experiment
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Reports on the topic "Face verification"

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Hanaoka, Kayee. Face Analysis Technology Evaluation: Age Estimation and Verification. National Institute of Standards and Technology, 2024. http://dx.doi.org/10.6028/nist.ir.8525.

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Rizvi, Syed A., P. Jonathon Phillips, and Hyeonjoon Moon. The FERET verification testing protocol for face recognition algorithms. National Institute of Standards and Technology, 1998. http://dx.doi.org/10.6028/nist.ir.6281.

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Azcárate Ortega, Almudena, Laetitia Cesari, and James Revill. Space Dossier 8 – Constant Vigilance? Verification and Monitoring for Space Security. UNIDIR, 2023. http://dx.doi.org/10.37559/wmd/23/space/04.

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In the face of space's ever-increasing importance to humankind, the ongoing development of counterspace capabilities by several States creates new forms of threats to space assets and infrastructure. As such, policy options to reduce or prevent the weaponization of space through arms control, disarmament and wider governance are increasingly important to ensure the security and sustainability of space operations. To inform policymaking in this area, it is useful to understand the options available for monitoring and verification in space. To explore the potential for verification for space sec
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Ahmed, Hasnat, and Wahid bin Ahsan. Improving the Quality and Credibility of Educational Content on Social Media Platforms in Bangladesh. Userhub, 2024. http://dx.doi.org/10.58947/journal.xtcq54.

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This study investigates the quality and credibility of educational content on social media platforms learners in Bangladesh use. Using a mixed-methods approach, 80 survey responses and 30 in-depth interviews were analyzed to assess how learners engage with educational content, the challenges they face in verifying authenticity, and potential solutions. Findings show that Facebook is the primary platform for educational purposes, but users struggle with misinformation, weak content verification, and distracting advertisements. Although 63% of participants cross-referenced information, many infr
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Findlay, Trevor. The Role of International Organizations in WMD Compliance and Enforcement: Autonomy, Agency, and Influence. The United Nations Institute for Disarmament Research, 2020. http://dx.doi.org/10.37559/wmd/20/wmdce9.

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Major multilateral arms control and disarmament treaties dealing with weapons of mass destruction (WMD) often have mandated an international organization to monitor and verify State party compliance and to handle cases of non-compliance. There are marked differences in the mandates and technical capabilities of these bodies. Nonetheless, they often face the same operational and existential challenges. This report looks at the role of multilateral verification bodies, especially their secretariats, in dealing with compliance and enforcement, the extent to which they achieve “agency” and “influe
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Smirnov, Serhii. Медіастандарти та фактчекінг в контексті психологічних бар’єрів, глибинних переконань та традицій. Ivan Franko National University of Lviv, 2023. http://dx.doi.org/10.30970/vjo.2023.52-53.11726.

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Denial by the Russians of the established facts of genocide and looting by their military in the Ukrainian cities and villages occupied by them and the belief in their version of some people and groups made the main objective of the study to find out to what extent media standards and information verification mechanisms work in conditions of deep convictions and the presence of psychological barriers. For this purpose, a task was chosen based on a politically neutral example that is understandable to the general public – the (non)existence of Santa Claus; verify its submission to the media wit
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Leff, Jonah, and Einas Mohammed. An Innovative Approach to United Nations Arms Embargoes. UNIDIR, 2020. http://dx.doi.org/10.37559/caap/20/wam/06.

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The Joint Verification Team on weapons and ammunition in Somalia represents an innovative approach to monitoring and verifying the implementation of Security Council arms embargoes. This observation paper sets out the establishment, methodology, role and activities of the Joint Verification Team, while cataloguing the challenges faced. The paper provides a series of key reflections on weapons and ammunition management in Somalia and considers how the Joint Verification Team might be replicated in other contexts
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Palomo, B., and J. Sedano. WhatsApp as a verification tool for fake news. The case of B de Bulo. Revista Latina de Comunicación Social, 2018. http://dx.doi.org/10.4185/rlcs-2018-1312en.

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Baader, Franz, and Marcel Lippmann. Runtime Verification Using a Temporal Description Logic Revisited. Technische Universität Dresden, 2014. http://dx.doi.org/10.25368/2022.203.

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Formulae of linear temporal logic (LTL) can be used to specify (wanted or unwanted) properties of a dynamical system. In model checking, the system’s behaviour is described by a transition system, and one needs to check whether all possible traces of this transition system satisfy the formula. In runtime verification, one observes the actual system behaviour, which at any point in time yields a finite prefix of a trace. The task is then to check whether all continuations of this prefix to a trace satisfy (violate) the formula. More precisely, one wants to construct a monitor, i.e., a finite au
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Moreno-Castro, C., and M. Crespo. IBERIFIER Reports: The Impact of Disinformation on the Media Industry in Spain and Portugal. Servicio de Publicaciones de la Universidad de Navarra, 2023. http://dx.doi.org/10.15581/026.001.

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Disinformation, the deliberate spread of false or misleading information, has become an increasingly pressing issue in today’s society. The media industry, which plays a critical role in providing reliable and accurate information to the public, has been significantly impacted by the rise of disinformation. This IBERIFIER Report provides an analysis of the effects of disinformation on the media industry and the challenges it poses for journalists, media organizations, and the public. It highlights the erosion of public trust in the media, the need for journalists to verify information more rig
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