Academic literature on the topic 'Salient features'

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Journal articles on the topic "Salient features"

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Gao, Gan, Yuanyuan Wang, Feng Zhou, Shuaiting Chen, Xiaole Ge, and Rugang Wang. "BSEFNet: bidirectional self-attention edge fusion network salient object detection based on deep fusion of edge features." PeerJ Computer Science 10 (December 10, 2024): e2494. https://doi.org/10.7717/peerj-cs.2494.

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Salient object detection aims to identify the most prominent objects within an image. With the advent of fully convolutional networks (FCNs), deep learning-based saliency detection models have increasingly leveraged FCNs for pixel-level saliency prediction. However, many existing algorithms face challenges in accurately delineating target boundaries, primarily due to insufficient utilization of edge information. To address this issue, we propose a novel approach to improve the boundary accuracy of salient target detection by integrating salient target and edge information. Our approach compris
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Song, Sensen, Yue Li, Zhenhong Jia, and Fei Shi. "Salient Object Detection Based on Optimization of Feature Computation by Neutrosophic Set Theory." Sensors 23, no. 20 (2023): 8348. http://dx.doi.org/10.3390/s23208348.

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In recent saliency detection research, too many or too few image features are used in the algorithm, and the processing of saliency map details is not satisfactory, resulting in significant degradation of the salient object detection result. To overcome the above deficiencies and achieve better object detection results, we propose a salient object detection method based on feature optimization by neutrosophic set (NS) theory in this paper. First, prior object knowledge is built using foreground and background models, which include pixel-wise and super-pixel cues. Simultaneously, the feature ma
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Yang, Chengzhi. "An Image Multi-scale Feature Recognition Method Based on Image Saliency." International Journal of Circuits, Systems and Signal Processing 15 (April 8, 2021): 280–87. http://dx.doi.org/10.46300/9106.2021.15.32.

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Image recognition refers to the technology which processes, analyzes and understands images with computer so as to recognize various targets and objects of different patterns. To effectively combine image recognition and intelligent algorithm can enhance the efficiency of image feature analysis, improve the detection accuracy and guarantee real-time detection. In image feature recognition, the following problems exist: the description of accurate object features, object blockage, complex and changeable scenes. Whether these problems can be effectively solved has great significance in improving
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Li, Liming, Shuguang Zhao, Rui Sun, et al. "AFI-Net: Attention-Guided Feature Integration Network for RGBD Saliency Detection." Computational Intelligence and Neuroscience 2021 (March 30, 2021): 1–10. http://dx.doi.org/10.1155/2021/8861446.

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This article proposes an innovative RGBD saliency model, that is, attention-guided feature integration network, which can extract and fuse features and perform saliency inference. Specifically, the model first extracts multimodal and level deep features. Then, a series of attention modules are deployed to the multilevel RGB and depth features, yielding enhanced deep features. Next, the enhanced multimodal deep features are hierarchically fused. Lastly, the RGB and depth boundary features, that is, low-level spatial details, are added to the integrated feature to perform saliency inference. The
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Ullah, Inam, Muwei Jian, Kashif Shaheed, et al. "AWANet: Attentive-Aware Wide-Kernels Asymmetrical Network with Blended Contour Information for Salient Object Detection." Sensors 22, no. 24 (2022): 9667. http://dx.doi.org/10.3390/s22249667.

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Although deep learning-based techniques for salient object detection have considerably improved over recent years, estimated saliency maps still exhibit imprecise predictions owing to the internal complexity and indefinite boundaries of salient objects of varying sizes. Existing methods emphasize the design of an exemplary structure to integrate multi-level features by employing multi-scale features and attention modules to filter salient regions from cluttered scenarios. We propose a saliency detection network based on three novel contributions. First, we use a dense feature extraction unit (
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Zhuge, Yunzhi, Yu Zeng, and Huchuan Lu. "Deep Embedding Features for Salient Object Detection." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 9340–47. http://dx.doi.org/10.1609/aaai.v33i01.33019340.

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Benefiting from the rapid development of Convolutional Neural Networks (CNNs), some salient object detection methods have achieved remarkable results by utilizing multi-level convolutional features. However, the saliency training datasets is of limited scale due to the high cost of pixel-level labeling, which leads to a limited generalization of the trained model on new scenarios during testing. Besides, some FCN-based methods directly integrate multi-level features, ignoring the fact that the noise in some features are harmful to saliency detection. In this paper, we propose a novel approach
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Zhou, Junxiu, Yangyang Tao, and Xian Liu. "Tensor Decomposition for Salient Object Detection in Images." Big Data and Cognitive Computing 3, no. 2 (2019): 33. http://dx.doi.org/10.3390/bdcc3020033.

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The fundamental challenge of salient object detection is to find the decision boundary that separates the salient object from the background. Low-rank recovery models address this challenge by decomposing an image or image feature-based matrix into a low-rank matrix representing the image background and a sparse matrix representing salient objects. This method is simple and efficient in finding salient objects. However, it needs to convert high-dimensional feature space into a two-dimensional matrix. Therefore, it does not take full advantage of image features in discovering the salient object
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Shao, Z. F., W. X. Zhou, and Q. M. Cheng. "Remote Sensing Image Retrieval with Combined Features Of Salient Region." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-6 (April 23, 2014): 83–88. http://dx.doi.org/10.5194/isprsarchives-xl-6-83-2014.

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Low-level features tend to achieve unsatisfactory retrieval results in remote sensing image retrieval community because of the existence of semantic gap. In order to improve retrieval precision, visual attention model is used to extract salient objects from image according to their saliency. Then color and texture features are extracted from salient objects and regarded as feature vectors for image retrieval. Experimental results demonstrate that our method improves retrieval results and obtains higher precision.
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Shevko, Nailya R. "Salient features of cybercrime." Государственная служба и кадры, no. 4 (2022): 254–56. http://dx.doi.org/10.56539/23120444_2022_4_254.

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Kuo, K. H. "Salient features of quasicrystals." Materials Chemistry and Physics 39, no. 1 (1994): 1–11. http://dx.doi.org/10.1016/0254-0584(94)90124-4.

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Dissertations / Theses on the topic "Salient features"

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Wolf, Annatala Trixie. "Gender-based language modeling salient features and interpolation methods /." Connect to resource, 2006. http://hdl.handle.net/1811/24049.

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Thesis (Honors)--Ohio State University, 2006.<br>Title from first page of PDF file. Document formatted into pages: contains ii, 24 p. Includes bibliographical references (p. 23-24). Available online via Ohio State University's Knowledge Bank.
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Geiger, Timothy A. "The salient features of literary unity across Genesis 1 and 2." Theological Research Exchange Network (TREN) Access this title online, 2004. http://www.tren.com.

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Jönsson, Daniel. "Enhancing Salient Features in Volumetric Data Using Illumination and Transfer Functions." Doctoral thesis, Linköpings universitet, Medie- och Informationsteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-131023.

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The visualization of volume data is a fundamental component in the medical domain. Volume data is used in the clinical work-flow to diagnose patients and is therefore of uttermost importance. The amount of data is rapidly increasing as sensors, such as computed tomography scanners, become capable of measuring more details and gathering more data over time. Unfortunately, the increasing amount of data makes it computationally challenging to interactively apply high quality methods to increase shape and depth perception. Furthermore, methods for exploring volume data has mostly been designed for
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Patterson, Merryl Joy. "Testing the weighted salience model of conceptual combination." Diss., Texas A&M University, 2003. http://hdl.handle.net/1969.1/270.

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In two experiments the Weighted Salience Model (WSM) of conceptual combination was examined. Several of the hypotheses set forth in the WSM were evaluated, including the importance of salience of constituent features, differential interpretation strategies based on similarity, an initial reliance on the modifier as opposed to the head, and a context effect of salience reorganization. Results confirmed that the hierarchy of output dominance within constituent features was important in determining features in final combinations. Additionally, similar pairs were defined with property interpreta
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Al-Lakany, H. "Human gait analysis : extracting salient features from normal and pathological kinematic data." Thesis, University of Edinburgh, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.640299.

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The study of human walking has been of interest to researchers in different disciplines. Their interest included but was not limited to modelling of the human body, perceiving actions, analysing gait, etc. The data collected includes eighty normal and thirty pathological subjects. The work presented comprises tracking of the markers, analysis of the motion trajectories, extraction of salient features and recognition of gait signatures using a vector quantiser and a clustering mechanism of different groups of subjects - normal and pathological - through interpreting the knowledge obtained from
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Newbon, Joshua James. "Aerodynamic effects of the salient flow features in Grand Prix car wakes." Thesis, Durham University, 2017. http://etheses.dur.ac.uk/12051/.

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Grand Prix cars are the fastest circuit racing cars in production, a large part of this is due to the high downforce generated by the car's aerodynamic surfaces, in excess of the car's own weight above 150kph. It is well known that a race-car operating in the wake of an upstream vehicle experiences a reduction of aerodynamic drag, and a corresponding increase of ultimate straight line speed. There is also a loss of aerodynamic downforce, predominately from surfaces acting on the front axle. The effect of the reduced downforce is an increase of lap-time and degraded handling characteristics, th
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Musyoki, Christopher Mbindyo. "Three empirical essays on salient trading features exhibited in ten African stock markets." Thesis, University of Aberdeen, 2015. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=227595.

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The thesis comprises three associated empirical studies that aim at facilitating better understanding of the salient trading features that typify the sampled stock markets of Africa. The first study explored the recent trends in trading activities observed in ten African stock markets of Botswana, BRVM, Egypt, Ghana, Kenya, Mauritius, Morocco, Nigeria, South Africa and Tunisia. The exercise identified the prominent trait of sluggish price movements and low levels of stock liquidity. Further analysis on the potential causes of the identified delays in price movements distinguish high stock illi
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King, Nicholas David. "Gnosticism : an investigation into the possible origins of some of its salient features." Thesis, University of Leicester, 1990. http://hdl.handle.net/2381/34075.

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This essay attempts to uncover various areas in the study of Gnosticism worthy of further research, such as the emphasis on various divine or angelic intermediaries in the creative and redemptive processes and the widespread tendency towards the allegorisation or re-interpretation of ancient myths, although many of them are here investigated. It is divided into six chapters, the first of which aspires to trace the possible impact of both the Graeco-Roman mystery religions and the oriental cults upon the Gnostic movement. The second chapter attempts to investigate Judaism, (which was in the Cla
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Sawyer, Michael Whitfield. "A scanpath comparison of the salient features of weather among general aviation pilots based on training and experience." Connect to this title online, 2009. http://etd.lib.clemson.edu/documents/1263397366/.

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Cavanaugh, Kaitlyn Anne. "Salient features of established interdisciplinary teams for assessment and management of feeding, swallowing, and nutrition in pediatric populations." Thesis, The University of Arizona, 2009. http://hdl.handle.net/10150/192299.

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Books on the topic "Salient features"

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Dhyānī, Śivacaraṇa. Salient features of Ayurveda. Chaukhambha Orientalia, 1987.

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Ligthelm, A. A. Salient features of poverty in South Africa. University of South Africa, Bureau of Market Research, 1993.

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Chhattīsgarh (India). Ārthika evaṃ Sāṅkhyikī Sañcālanālaya. Chhattisgarh in charts and graphs: Salient features, 2001. Directorate of Economics & Statistics, Chhatisgarh, 2001.

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Ahmed, Hassan. Some salient features in human resource development: Selected speeches. Matchers Publishing, 2008.

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Philippines. Compilation of salient features: Social welfare and development laws, 1987-1998. Dept. of Social Welfare and Development, 1998.

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Gujarat (India). Directorate of Economics & Statistics. Districtwise/talukawise salient features of population statistics (1991 and 2001) Gujarat. Directorate of Economics and Statistics, Government of Gujarat, 2005.

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Marc, Maresceau, ed. Law and practice of EU external relations: Salient features of a changing landscape. Cambridge University Press, 2008.

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Urmila, Dogra, ed. Hindu and Sikh wedding ceremonies: With salient features of Hindu and Sikh rituals. Star Publictions, 2000.

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Organisation, National Sample Survey, ed. Condition of urban slums, 2002: Salient features, NSS 58th round (July 2002-December 2002). National Sample Survey Organisation, Ministry of Statistics and Programme Implementation, Govt. of India, 2003.

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Organisation, National Sample Survey, ed. Unorganised manufacturing enterprises in India: Salient features : NSS fifty-first round, July 1994-June 1995. National Sample Survey Organisation, 1998.

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Book chapters on the topic "Salient features"

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Jagadeesh, Madhu Kashyap, and Usha Shekhar. "Salient Features of Exoplanets." In Extreme Habitable Environments. CRC Press, 2022. http://dx.doi.org/10.1201/9780429289590-6.

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Varghese, Mathew. "The Salient Features of Plutonomy." In A Brief History of Creative Work and Plutonomy. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9263-8_10.

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Islam, S. Nazrul. "Salient Features of Bangladesh Politics." In Governance for Development. Palgrave Macmillan US, 2016. http://dx.doi.org/10.1057/9781137542540_3.

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Verikas, Antanas, Marija Bacauskiene, and Kerstin Malmqvist. "Selecting Salient Features for Classification Committees." In Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44989-2_5.

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Winter, Stephan. "Route Adaptive Selection of Salient Features." In Spatial Information Theory. Foundations of Geographic Information Science. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39923-0_23.

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Maree, J. G. "Salient Features of Career Construction Counselling." In Counselling for Career Construction. SensePublishers, 2013. http://dx.doi.org/10.1007/978-94-6209-272-3_5.

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Fischer, Paul. "Salient Features of FDI in Russia." In Foreign Direct Investment in Russia. Palgrave Macmillan UK, 2000. http://dx.doi.org/10.1057/9780333977590_10.

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Sujatha, P. Kola, N. Nivethan, R. Vignesh, and G. Akila. "Salient Object Detection Using DenseNet Features." In New Trends in Computational Vision and Bio-inspired Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41862-5_168.

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Swamee, P. K., and B. R. Chahar. "Salient Features of Canal Route Alignment." In Design of Canals. Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2322-1_11.

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Tyagi, Kalpana. "Salient Features of the ICT Sector." In Promoting Competition in Innovation Through Merger Control in the ICT Sector. Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-662-58784-3_3.

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Conference papers on the topic "Salient features"

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Liu, Yi, Qiyu Jin, and Jie Yang. "Quaternion CNN With Salient Features for Color Image Denoising." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10890612.

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Rao, V. Sambasiva, V. Mounika, N. Raghavendra Sai, and G. Sai Chaitanya Kumar. "Expression of Concern for: Usage of Saliency Prior Maps for Detection of Salient Object Features." In 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). IEEE, 2021. http://dx.doi.org/10.1109/i-smac52330.2021.10702974.

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Walker, K. N., T. F. Cootes, and C. J. Taylor. "Locating Salient Object Features." In British Machine Vision Conference 1998. British Machine Vision Association, 1998. http://dx.doi.org/10.5244/c.12.56.

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Zhang, Pingping, Wei Liu, Huchuan Lu, and Chunhua Shen. "Salient Object Detection by Lossless Feature Reflection." 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.2018/160.

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Salient object detection, which aims to identify and locate the most salient pixels or regions in images, has been attracting more and more interest due to its various real-world applications. However, this vision task is quite challenging, especially under complex image scenes. Inspired by the intrinsic reflection of natural images, in this paper we propose a novel feature learning framework for large-scale salient object detection. Specifically, we design a symmetrical fully convolutional network (SFCN) to learn complementary saliency features under the guidance of lossless feature reflectio
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Wang, Liang, and Debin Zhao. "Recognizing actions using salient features." In 2011 IEEE 13th International Workshop on Multimedia Signal Processing (MMSP). IEEE, 2011. http://dx.doi.org/10.1109/mmsp.2011.6093832.

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Drissi, Noomane, Thierry Chonavel, and Jean Marc Boucher. "Salient features in seismic images." In OCEANS 2008 - MTS/IEEE Kobe Techno-Ocean. IEEE, 2008. http://dx.doi.org/10.1109/oceanskobe.2008.4531012.

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Habiba, Nabi, and Douik Ali. "Salient spectral features for points detection." In 2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP). IEEE, 2016. http://dx.doi.org/10.1109/atsip.2016.7523070.

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Rao, V. Sambasiva, V. Mounika, N. Raghavendra Sai, and G. Sai Chaitanya Kumar. "Usage of Saliency Prior Maps for Detection of Salient Object Features." In 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). IEEE, 2021. http://dx.doi.org/10.1109/i-smac52330.2021.9640684.

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Ajmal, Aisha, Harith-Al-Sahaf, and Christopher Hollitt. "Salient Motion Features for Visual Attention Models." In 2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE, 2020. http://dx.doi.org/10.1109/ivcnz51579.2020.9290712.

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Qiao, Jiancheng, Fengxia Li, and Yue Yu. "Salient global geometry features preserving mesh simplification." In 2015 IEEE 16th International Conference on Communication Technology (ICCT). IEEE, 2015. http://dx.doi.org/10.1109/icct.2015.7399851.

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Reports on the topic "Salient features"

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Russel, Chris A., and Steve G. Gustafson. Selecting Salient Features of Psychophysiological Measures. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada389058.

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Vial, Joaquín, Patricio Navia, John Londregan, and Cristóbal Aninat. Political Institutions, Policymaking Processes and Policy Outcomes in Chile. Inter-American Development Bank, 2006. http://dx.doi.org/10.18235/0011298.

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This analysis characterizes the salient features of the policymaking process (PMP) in Chile. It emphasizes the influence of political institutions on the PMP and examines the linkage between policymaking and policy outcomes in Chile. The salient features of the Chilean PMP are the electoral system and the associated party system, characterized by two long-lived coalitions, a powerful Executive, with de facto control over the agenda, a relatively independent judiciary, a bureaucracy that is relatively free from corruption even by the standards of the OECD, and a series of veto points in the pol
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Rojas-Suárez, Liliana, and Arturo Galindo. Provisioning Requirements in Latin America: Where Does the Region Stand? Inter-American Development Bank, 2011. http://dx.doi.org/10.18235/0008401.

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This policy note focuses on provisioning practices in Latin America, a supervisory tool that if well designed can contribute to strengthen both micro and macro prudential regulation. For that purpose this note briefly explains the importance of an adequate regulatory regime for provisioning requirements and identifies key features of an adequate provisioning regime, describes the most salient characteristics of provisioning regimes in Latin America, and constructs an index to assess the quality of the provisioning regimes in the selected countries.
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Altay, Sacha, Sebastián Valenzuela, and Philip N. Howard. Trends in the Global Information Environment: 2024 Expert Survey Results. International Panel on the Information Environment (IPIE), 2024. https://doi.org/10.61452/qdly4609.

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The global information environment is under great pressure. How do experts around the world perceive the features of and threats to the information environment in the countries they study? In June 2024, the IPIE surveyed 412 researchers from 66 countries about the information environment. The 2024 survey confirms the consensus, first expressed in the 2023 survey, that accurate information and diverse voices are the most important features of a healthy information environment. Additional points have become apparent, including: Two thirds (63%) of respondents expect the information environment t
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Audoly, Richard. Firm Dynamics and Random Search over the Business Cycle. Federal Reserve Bank of New York, 2023. http://dx.doi.org/10.59576/sr.1069.

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I build a tractable random search model with firm dynamics, on-the-job search, and aggregate shocks. Multi-worker firms make recruitment decisions, choose whether to enter or exit the market, and design wage contracts. Tractability is obtained by showing that, under a set of assumptions on the recruitment technology, the decisions of workers and firms can be expressed in terms of the firms’ current productivity. I introduce a numerical solution method to accommodate aggregate shocks in this environment and show that the model can replicate salient features of both firm-level data on productivi
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Bastawros, Ashraf. DTPH56-16H-CAP01 Mechanochemistry-Based Detection of Early Stage Corrosion Degradation of Pipeline Steels. Pipeline Research Council International, Inc. (PRCI), 2020. http://dx.doi.org/10.55274/r0011990.

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The aim of the work is to provide measurable precursor signals associated with the initiation stage of near-surface damage and cracking, as depicted in Fig. 1.1. We have identified many salient features during the early stage of the SCC process (Stages 1, 2 on Fig. 1.1), including residual stress build-up, near-surface (within few microns) defect percolation, and changes of dislocation dynamics and measurable changes of the surface osmic resistance. We developed a model-based prediction of the onset and progression of SCC subsurface damage and assessed the electrochemical impedance spectroscop
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Tedla, Jaya Shanker, Faisal Asiri, Devika Rani Sangadala, Debjani Mukherjee, Ravi Shankar Reddy, and Kumar Gular. Quality of life among family caregivers of children with disabilities in the Kingdom of Saudi Arabia. A Systematic Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.3.0052.

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Review question / Objective: The purpose of this systematic review is to find the quality of life among family caregivers of children with disabilities in the Kingdom of Saudi Arabia. Condition being studied: Quality of life is a broad-ranging concept affected in a complex way by the person’s physical health, psychological state, level of independence, social relationships, personal beliefs, and their relationship to salient features of their environment. A family caregiver is an unpaid individual who assists in caring for disabled children in activities of daily living, transfers, etc., and a
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Schulz, Jan, Daniel Mayerhoffer, and Anna Gebhard. A Network-Based Explanation of Perceived Inequality. Otto-Friedrich-Universität, 2021. http://dx.doi.org/10.20378/irb-49393.

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Across income groups and countries, the public perception of economic inequality and many other macroeconomic variables such as inflation or unemployment rates is spectacularly wrong. These misperceptions have far-reaching consequences, as it is perceived inequality, not actual inequality informing redistributive preferences. The prevalence of this phenomenon is independent of social class and welfare regime, which suggests the existence of a common mechanism behind public perceptions. We propose a network-based explanation of perceived inequality building on recent advances in random geometri
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Cook, Joshua, Laura Ray, and James Lever. Dynamics modeling and robotic-assist, leader-follower control of tractor convoys. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/43202.

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This paper proposes a generalized dynamics model and a leader-follower control architecture for skid-steered tracked vehicles towing polar sleds. The model couples existing formulations in the literature for the powertrain components with the vehicle-terrain interaction to capture the salient features of terrain trafficability and predict the vehicles response. This coupling is essential for making realistic predictions of the vehicles traversing capabilities due to the power-load relationship at the engine output. The objective of the model is to capture adequate fidelity of the powertrain an
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Soramäki, Kimmo. Financial Cartography. FNA, 2019. http://dx.doi.org/10.69701/ertx8007.

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Geographic maps have been of military and economic importance throughout the ages. Rulers have commissioned maps to control the financial, economic, political, and military aspects of their sovereign entities. Large scale projects like the Ordnance Survey in the UK in the late 18th century, and the Lewis and Clark Expedition a few decades later to map the American West, are early examples of trailblazing efforts to create accurate modern maps of high strategic importance. Digitalization, globalization, and a larger urban and educated workforce necessitate a new understanding of the world, beyo
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