Relevant bibliographies by topics / Non-local matching

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Non-local matching'

Author: Grafiati
Published: 7 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "Non-local matching"

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Huang, Xu, Yongjun Zhang, and Zhaoxi Yue. "IMAGE-GUIDED NON-LOCAL DENSE MATCHING WITH THREE-STEPS OPTIMIZATION." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-3 (June 3, 2016): 67–74. http://dx.doi.org/10.5194/isprsannals-iii-3-67-2016.

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This paper introduces a new image-guided non-local dense matching algorithm that focuses on how to solve the following problems: 1) mitigating the influence of vertical parallax to the cost computation in stereo pairs; 2) guaranteeing the performance of dense matching in homogeneous intensity regions with significant disparity changes; 3) limiting the inaccurate cost propagated from depth discontinuity regions; 4) guaranteeing that the path between two pixels in the same region is connected; and 5) defining the cost propagation function between the reliable pixel and the unreliable pixel durin
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Huang, Xu, Yongjun Zhang, and Zhaoxi Yue. "IMAGE-GUIDED NON-LOCAL DENSE MATCHING WITH THREE-STEPS OPTIMIZATION." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-3 (June 3, 2016): 67–74. http://dx.doi.org/10.5194/isprs-annals-iii-3-67-2016.

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This paper introduces a new image-guided non-local dense matching algorithm that focuses on how to solve the following problems: 1) mitigating the influence of vertical parallax to the cost computation in stereo pairs; 2) guaranteeing the performance of dense matching in homogeneous intensity regions with significant disparity changes; 3) limiting the inaccurate cost propagated from depth discontinuity regions; 4) guaranteeing that the path between two pixels in the same region is connected; and 5) defining the cost propagation function between the reliable pixel and the unreliable pixel durin
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Cai, Weibo, Jintao Cheng, Juncan Deng, et al. "Line Segment Matching Fusing Local Gradient Order and Non-Local Structure Information." Applied Sciences 12, no. 1 (2021): 127. http://dx.doi.org/10.3390/app12010127.

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Line segment matching is essential for industrial applications such as scene reconstruction, pattern recognition, and VSLAM. To achieve good performance under the scene with illumination changes, we propose a line segment matching method fusing local gradient order and non-local structure information. This method begins with intensity histogram multiple averaging being utilized for adaptive partitioning. After that, the line support region is divided into several sub-regions, and the whole image is divided into a few intervals. Then the sub-regions are encoded by local gradient order, and the
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ZHANG, Chao, Haitian SUN, and Takuya AKASHI. "Robust Non-Parametric Template Matching with Local Rigidity Constraints." IEICE Transactions on Information and Systems E99.D, no. 9 (2016): 2332–40. http://dx.doi.org/10.1587/transinf.2015edp7492.

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Amit, Mika, Rolf Backofen, Steffen Heyne, et al. "Local Exact Pattern Matching for Non-Fixed RNA Structures." IEEE/ACM Transactions on Computational Biology and Bioinformatics 11, no. 1 (2014): 219–30. http://dx.doi.org/10.1109/tcbb.2013.2297113.

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Zhong, Ying, Xue-zhi Yang, Yi-ming Tang, Can-jun Liu, and Feng Yue. "Non-local Means Denoising Derived from Structure-adapted Block Matching." Journal of Electronics & Information Technology 35, no. 12 (2014): 2908–15. http://dx.doi.org/10.3724/sp.j.1146.2013.00099.

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Ying Luo, 罗颖, 霍冠英 Guanying Huo, 许金鑫 Jinxin Xu, and 李庆武 Qingwu Li. "Non-Local Stereo Matching Algorithm Based on Edge Constraint Iteration." Laser & Optoelectronics Progress 56, no. 15 (2019): 151501. http://dx.doi.org/10.3788/lop56.151501.

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Zahari, Madiha, Rostam Affendi Hamzah, Nurulfajar Abd Manap, and Adi Irwan Herman. "Stereo matching algorithm for autonomous vehicle navigation using integrated matching cost and non-local aggregation." Bulletin of Electrical Engineering and Informatics 12, no. 1 (2023): 328–37. http://dx.doi.org/10.11591/eei.v12i1.4122.

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Stereo matching algorithm plays an important role in an autonomous vehicle navigation system to ensure accurate three-dimensional (3D) information is provided. The disparity map produced by the stereo matching algorithm directly impacts the quality of the 3D information provided to the navigation system. However, the accuracy of the matching algorithm is a challenging part to be solved since it is directly affected by the surrounding environment such as different brightness, less texture surface, and different image pair exposure. In this paper, a new framework of stereo matching algorithm tha
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Li, Dongrui, Xiaofeng Huang, and Ying Yang. "Research on image denoising algorithm based on non-local block matching." International Journal of Information and Communication Technology 16, no. 3 (2020): 245. http://dx.doi.org/10.1504/ijict.2020.10027484.

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Yang, Ying, Dongrui Li, and Xiaofeng Huang. "Research on image denoising algorithm based on non-local block matching." International Journal of Information and Communication Technology 16, no. 3 (2020): 245. http://dx.doi.org/10.1504/ijict.2020.106317.

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Dissertations / Theses on the topic "Non-local matching"

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Zhou, Dan. "Stereo Matching Based on Edge-Aware T-MST." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/35538.

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Dense stereo matching is one of the most extensively investigated topics in computer vision, since it plays an important role in many applications such as 3D scene reconstruction. In this thesis, a novel dense stereo matching method is proposed based on edge-aware truncated minimum spanning tree (T-MST). Instead of employing non-local cost aggregation on traditional MST which is only generated from color differences of neighbouring pixels, a new tree structure, "Edge-Aware T-MST", is proposed to aggregate the cost according to the image texture. Specifically, cost aggregations are strongly
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St-Jean, Samuel. "Acquisitions d'IRM de diffusion à haute résolution spatiale : nouvelles perspectives grâce au débruitage spatialement adaptatif et angulaire." Mémoire, Université de Sherbrooke, 2015. http://hdl.handle.net/11143/6993.

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Le début des années 2000 a vu la cartographie du génome humain se réaliser après 13 ans de recherche. Le défi du prochain siècle réside dans la construction du connectome humain, qui consiste à cartographier les connexions du cerveau en utilisant l’imagerie par résonance magnétique (IRM) de diffusion. Cette technique permet en effet d’étudier la matière blanche du cerveau de façon complètement non invasive. Bien que le défi soit monumental, la résolution d’une image d’IRM se situe à l’échelle macroscopique et est environ 1000 fois inférieure à la taille des axones qu’il faut cartographier. Pou
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Carrillo, Hernan. "Colorisation d'images avec réseaux de neurones guidés par l'intéraction humaine." Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0016.

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La colorisation est le processus qui consiste à ajouter des couleurs aux images en niveaux de gris. C’est une tâche importante dans la communauté de l’édition d’images et de l’animation. Bien que des méthodes de colorisation automatique existent, elles produisent souvent des résultats insatisfaisants en raison de défauts tels que le débordement de couleur, l’incohérence, des couleurs non naturelles et la nature non trivial du problème. Par conséquent, une intervention manuelle est souvent nécessaire pour obtenir le résultat souhaité. En conséquence, il y a un intérêt croissant à automatiser le
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Romanenko, Ilya. "Novel image processing algorithms and methods for improving their robustness and operational performance." Thesis, Loughborough University, 2014. https://dspace.lboro.ac.uk/2134/16340.

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Image processing algorithms have developed rapidly in recent years. Imaging functions are becoming more common in electronic devices, demanding better image quality, and more robust image capture in challenging conditions. Increasingly more complicated algorithms are being developed in order to achieve better signal to noise characteristics, more accurate colours, and wider dynamic range, in order to approach the human visual system performance levels.
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Giraud, Remi. "Algorithmes de correspondance et superpixels pour l’analyse et le traitement d’images." Thesis, Bordeaux, 2017. http://www.theses.fr/2017BORD0771/document.

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Cette thèse s’intéresse à diverses composantes du traitement et de l’analyse d’images par méthodes non locales. Ces méthodes sont basées sur la redondance d’information présente dans d’autres images, et utilisent des algorithmes de recherche de correspondance, généralement basés sur l’utilisation patchs, pour extraire et transférer de l’information depuis ces images d’exemples. Ces approches, largement utilisées par la communauté de vision par ordinateur, sont souvent limitées par le temps de calcul de l’algorithme de recherche, appliqué à chaque pixel, et par la nécessité d’effectuer un prétr
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Lin, Zong-Han, and 林宗翰. "The Study of Integrating Block Matching 3D and Non-Local Means Image Denoising Algorithms." Thesis, 2019. http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22107NCHU5650006%22.&searchmode=basic.

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碩士<br>國立中興大學<br>通訊工程研究所<br>107<br>Since digital images are often interfered by noises from various sources, image denoising is an important technique in image processing. Non-local means (NLM) algorithm achieves denoising through block matching. It compares the block of a pixel to be denoised with its neighboring blocks and uses the weighted average of all the neighboring pixels to remove noises. Later, block-matching 3D (BM3D) algorithm also uses the concept of block matching in image denoising. BM3D gathers similar blocks into a 3D group. It then uses collaborative filtering in these 3-D gro
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Hsieh, Cheng-Hung, and 謝正宏. "A Non-Local Stereo Matching Algorithm Based on Improved Minimum Spanning Tree Structure and Occlusion Handling." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/6bn3ce.

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碩士<br>國立臺北科技大學<br>電機工程系所<br>102<br>The work proposed a non-local-based stereo matching algorithm for disparity computation. The feature of non-local stereo matching method is to utilize a tree structure to propagate weighted matching cost, and thus it can achieve both the merits of accuracy and speed in global and local methods respectively. In this work, a new minimum spanning tree forming method is proposed. Our method adopts 8-connected rather than 4-connected grid to construct the minimum spanning tree, and we also exploit the stereo matching cost as the confidence value, to prioritize tre
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Books on the topic "Non-local matching"

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Identification of Local Matching Fund Requirements for State-Administered Federal and Non-Federal Public Transportation Programs. National Academies Press, 2011. http://dx.doi.org/10.17226/14530.

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Horing, Norman J. Morgenstern. Retarded Green’s Functions. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198791942.003.0005.

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Chapter 5 introduces single-particle retarded Green’s functions, which provide the probability amplitude that a particle created at (x, t) is later annihilated at (x′,t′). Partial Green’s functions, which represent the time development of one (or a few) state(s) that may be understood as localized but are in interaction with a continuum of states, are discussed and applied to chemisorption. Introductions are also made to the Dyson integral equation, T-matrix and the Dirac delta-function potential, with the latter applied to random impurity scattering. The retarded Green’s function in the prese
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Book chapters on the topic "Non-local matching"

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Clifford, Raphaël, and Benjamin Sach. "Online Approximate Matching with Non-local Distances." In Combinatorial Pattern Matching. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02441-2_13.

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Landau, Gad M., Avivit Levy, and Ilan Newman. "LCS Approximation via Embedding into Local Non-repetitive Strings." In Combinatorial Pattern Matching. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02441-2_9.

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Amit, Mika, Rolf Backofen, Steffen Heyne, et al. "Local Exact Pattern Matching for Non-fixed RNA Structures." In Combinatorial Pattern Matching. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31265-6_25.

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Sankoff, David. "Edit distance for genome comparison based on non-local operations." In Combinatorial Pattern Matching. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/3-540-56024-6_10.

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Nguyen, Hong Phuc, Thi Dinh Tran, and Quang Vinh Dinh. "Local Stereo Matching by Joining Shiftable Window and Non-parametric Transform." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35455-7_13.

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Du, Jianning, Yanbing Xue, Hua Zhang, and Zan Gao. "Stereo Matching Based on Density Segmentation and Non-Local Cost Aggregation." In Advances in Multimedia Information Processing – PCM 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00767-6_24.

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Iguernaissi, Rabah, Djamal Merad, and Pierre Drap. "People’s Re-identification Across Multiple Non-overlapping Cameras by Local Discriminative Patch Matching." In Lecture Notes in Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59876-5_22.

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Chen, Geng, Yafeng Wu, Dinggang Shen, and Pew-Thian Yap. "XQ-NLM: Denoising Diffusion MRI Data via x-q Space Non-local Patch Matching." In Lecture Notes in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46726-9_68.

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Tsai, Chun-Jen, and Aggelos K. Katsaggelos. "Dense Disparity Estimation via Global and Local Matching." In Noblesse Workshop on Non-Linear Model Based Image Analysis. Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1597-7_45.

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Xu, Jinxin, Xueling Yang, Jinbo Zuo, Jiayan Mu, and Zhiqiang Guan. "Forward-Backward Diffusion and Pruning-Based Cost Aggregation for Non-Local Stereo Matching." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde221021.

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Minimum spanning tree (MST) has been devised for non-local cost aggregation to solve the stereo matching problem. However, the cost aggregation is employed directly from leaf toward root node, then in an inverse pass without considering any decision rules. And a small amount of noise is also existed in stereo image pairs. Both of the limitations often lead to failure in achieving more competitive results. This paper presents a novel stereo matching algorithm using forward-backward diffusion and pruning-based cost aggregation. In “forward-backward” process, the raw image pairs are smoothened on
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Conference papers on the topic "Non-local matching"

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Koster, Urs, and Aapo Hyvarinen. "Natural image statistics: Energy-based models estimated by score matching." In 2009 International Workshop on Local and Non-Local Approximation in Image Processing (LNLA 2009). IEEE, 2009. http://dx.doi.org/10.1109/lnla.2009.5278409.

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Xu, Juan, Zhihui Wei, and Yubao Sun. "Non-Local Means Image Denoising with Local Geometric Structures Matching Strategy." In 2009 2nd International Congress on Image and Signal Processing (CISP). IEEE, 2009. http://dx.doi.org/10.1109/cisp.2009.5301368.

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Gould, S. "Multiclass pixel labeling with non-local matching constraints." In 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2012. http://dx.doi.org/10.1109/cvpr.2012.6248002.

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Qingxiong Yang. "A non-local cost aggregation method for stereo matching." In 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2012. http://dx.doi.org/10.1109/cvpr.2012.6247827.

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Huang, Xiaoming, Guoqin Cui, and Yundong Zhang. "A fast non-local disparity refinement method for stereo matching." In 2014 IEEE International Conference on Image Processing (ICIP). IEEE, 2014. http://dx.doi.org/10.1109/icip.2014.7025776.

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Zhou, Ziheng, Samuel Chindaro, and Farzin Deravi. "Non-linear fusion of local matching scores for face verification." In Gesture Recognition (FG). IEEE, 2008. http://dx.doi.org/10.1109/afgr.2008.4813338.

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Altantawy, Doaa A., Marwa Obbaya, and Sherif Kishk. "A fast non-local based stereo matching algorithm using graph cuts." In 2014 9th International Conference on Computer Engineering & Systems (ICCES). IEEE, 2014. http://dx.doi.org/10.1109/icces.2014.7030943.

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Carrillo, Hernan, Michaël Clément, and Aurélie Bugeau. "Non-local Matching of Superpixel-based Deep Features for Color Transfer." In 17th International Conference on Computer Vision Theory and Applications. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0010767900003124.

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Ma, Yong, Huabing Zhou, Jun Chen, Jingshu Shi, and Zhongyuan Wang. "Non-rigid feature matching for image retrieval using global and local regularizations." In 2017 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2017. http://dx.doi.org/10.1109/icme.2017.8019441.

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Zhong, Heng, Yahu Zhu, and Deqi Ming. "An efficient stereo matching method based on non-local spatial tree filter." In ICCIR 2022: 2022 2nd International Conference on Control and Intelligent Robot. ACM, 2022. http://dx.doi.org/10.1145/3548608.3559180.

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Reports on the topic "Non-local matching"

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van den Boogaard,, Vanessa, and Fabrizio Santoro. Co-Financing Community-Driven Development Through Informal Taxation: Experimental Evidence from South-Central Somalia. Institute of Development Studies (IDS), 2021. http://dx.doi.org/10.19088/ictd.2021.016.

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Community contributions are often required as part of community-driven development (CDD) programmes, with payment encouraged through matching grants. However, little remains known about the impact of matching grants, or the implications of requiring community contributions in order for communities to receive development funding. This paper describes research where we partner with two non-governmental organisations (NGOs) – one international and one Somali – and undertake a randomised control trial of a CDD matching grant programme designed to incentivise informal contributions for local public
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Bleakley, Hoyt, and Kevin Cowan. Corporate Dollar Debt and Depreciations: Much Ado about Nothing? Inter-American Development Bank, 2005. http://dx.doi.org/10.18235/0010842.

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Much has been written recently about the problems for emerging markets that might result from a mismatch between foreign-currency denominated liabilities and assets (or income flows) denominated in local currency. In particular, several models, developed in the aftermath of financial crises of the late 1990s, suggest that the expansion in the "peso" value of "dollar" liabilities resulting from a devaluation could, via a net worth effect, offset the expansionary competitiveness effect. Assessing which effect dominates is ultimately an empirical matter. In this vein, this paper constructs a new
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Raei, Lamia. Exploring the Links: Youth participation and employment opportunities in Jordan. Oxfam IBIS, 2021. http://dx.doi.org/10.21201/2021.7981.

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Oxfam partners with the Jordanian Hashemite Fund for Human Development (JOHUD) through its Youth Participation and Employment (YPE) programme in order to connect with communities and train local community-based organizations (CBOs). JOHUD’s aim is to build the job-seeking capacity of youth in four governorates in Jordan. The programme organizes informal activities involving peer-to-peer education to help young people engage in the community as volunteers, and links them to various governmental and non-governmental institutions. COVID-19 and the associated lockdowns have altered the organizatio
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Asari, Vijayan, Paheding Sidike, Binu Nair, Saibabu Arigela, Varun Santhaseelan, and Chen Cui. PR-433-133700-R01 Pipeline Right-of-Way Automated Threat Detection by Advanced Image Analysis. Pipeline Research Council International, Inc. (PRCI), 2015. http://dx.doi.org/10.55274/r0010891.

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A novel algorithmic framework for the robust detection and classification of machinery threats and other potentially harmful objects intruding onto a pipeline right-of-way (ROW) is designed from three perspectives: visibility improvement, context-based segmentation, and object recognition/classification. In the first part of the framework, an adaptive image enhancement algorithm is utilized to improve the visibility of aerial imagery to aid in threat detection. In this technique, a nonlinear transfer function is developed to enhance the processing of aerial imagery with extremely non-uniform l
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