Relevant bibliographies by topics / Feature Adaptation

Contents

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

Academic literature on the topic 'Feature Adaptation'

Author: Grafiati
Published: 10 December 2022
Last updated: 31 July 2025

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Journal articles on the topic "Feature Adaptation"

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O'Brien, Michael J., and Thomas D. Holland. "The Role of Adaptation in Archaeological Explanation." American Antiquity 57, no. 1 (1992): 36–59. http://dx.doi.org/10.2307/2694834.

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Adaptation, a venerable icon in archaeology, often is afforded the vacuous role of being an ex-post-facto argument used to "explain" the appearance and persistence of traits among prehistoric groups—a position that has seriously impeded development of a selectionist perspective in archaeology. Biological and philosophical definitions of adaptation—and by extension, definitions of adaptedness—vary considerably, but all are far removed from those usually employed in archaeology. The prevailing view in biology is that adaptations are features that were shaped by natural selection and that increas
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Cui, Pengcheng, Yongqian Zheng, Peimin Xu, Bin Li, Mingsheng Ma, and Guiyu Zhou. "The comparison of adjoint-based grid adaptation and feature-based grid adaptation method." Journal of Physics: Conference Series 2280, no. 1 (2022): 012003. http://dx.doi.org/10.1088/1742-6596/2280/1/012003.

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Abstract Grid adaption is a popular method to enhance the resolution of flow field and the precision of numerical simulation, which automatically optimizes the grid distribution instead of manual complicated work. There exist usually two grid adaptation methods, the feature based grid adaption and adjoint based grid adaption, the former focuses on shocks, vortexes and other features of flow field, and the latter focuses on lift, drag and other aerodynamic characteristics. The comparison of adjoint based grid adaption and feature based grid adaption method is investigated in this paper. Numeric
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Chen, Cheng, Qi Dou, Hao Chen, Jing Qin, and Pheng-Ann Heng. "Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 865–72. http://dx.doi.org/10.1609/aaai.v33i01.3301865.

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This paper presents a novel unsupervised domain adaptation framework, called Synergistic Image and Feature Adaptation (SIFA), to effectively tackle the problem of domain shift. Domain adaptation has become an important and hot topic in recent studies on deep learning, aiming to recover performance degradation when applying the neural networks to new testing domains. Our proposed SIFA is an elegant learning diagram which presents synergistic fusion of adaptations from both image and feature perspectives. In particular, we simultaneously transform the appearance of images across domains and enha
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Qin, Ning, and Xueqiang Liu. "Flow feature aligned grid adaptation." International Journal for Numerical Methods in Engineering 67, no. 6 (2006): 787–814. http://dx.doi.org/10.1002/nme.1648.

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Li, Shuang, Chi Liu, Qiuxia Lin, et al. "Domain Conditioned Adaptation Network." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (2020): 11386–93. http://dx.doi.org/10.1609/aaai.v34i07.6801.

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Tremendous research efforts have been made to thrive deep domain adaptation (DA) by seeking domain-invariant features. Most existing deep DA models only focus on aligning feature representations of task-specific layers across domains while integrating a totally shared convolutional architecture for source and target. However, we argue that such strongly-shared convolutional layers might be harmful for domain-specific feature learning when source and target data distribution differs to a large extent. In this paper, we relax a shared-convnets assumption made by previous DA methods and propose a
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Chen, Qingchao, and Yang Liu. "Structure-Aware Feature Fusion for Unsupervised Domain Adaptation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (2020): 10567–74. http://dx.doi.org/10.1609/aaai.v34i07.6629.

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Unsupervised domain Adaptation (UDA) aims to learn and transfer generalized features from a labelled source domain to a target domain without any annotations. Existing methods only aligning high-level representation but without exploiting the complex multi-class structure and local spatial structure. This is problematic as 1) the model is prone to negative transfer when the features from different classes are misaligned; 2) missing the local spatial structure poses a major obstacle in performing the fine-grained feature alignment. In this paper, we integrate the valuable information conveyed i
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Wen, Jun, Risheng Liu, Nenggan Zheng, Qian Zheng, Zhefeng Gong, and Junsong Yuan. "Exploiting Local Feature Patterns for Unsupervised Domain Adaptation." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 5401–8. http://dx.doi.org/10.1609/aaai.v33i01.33015401.

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Unsupervised domain adaptation methods aim to alleviate performance degradation caused by domain-shift by learning domain-invariant representations. Existing deep domain adaptation methods focus on holistic feature alignment by matching source and target holistic feature distributions, without considering local features and their multi-mode statistics. We show that the learned local feature patterns are more generic and transferable and a further local feature distribution matching enables fine-grained feature alignment. In this paper, we present a method for learning domain-invariant local fe
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Sun, Feng, Hanrui Wu, Zhihang Luo, Wenwen Gu, Yuguang Yan, and Qing Du. "Informative Feature Selection for Domain Adaptation." IEEE Access 7 (2019): 142551–63. http://dx.doi.org/10.1109/access.2019.2944226.

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Li, Jingyao, Zhanshan Li, and Shuai Lü. "Feature concatenation for adversarial domain adaptation." Expert Systems with Applications 169 (May 2021): 114490. http://dx.doi.org/10.1016/j.eswa.2020.114490.

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P, Geethanjali. "Hybrid Features-Based Intrusion Detection for The Internet of Vehicles using Dynamic Adaptation." International Journal for Research in Applied Science and Engineering Technology 11, no. 12 (2023): 2308–16. http://dx.doi.org/10.22214/ijraset.2023.57839.

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Abstract: The evolving landscape of the Internet of Vehicles (IoV) has brought to the forefront a discernible array of challenges about network security. In response, this study delves into applying deep learning-based intrusion detection techniques to fortify the IoV against potential network threats. Notably, prevailing approaches often rely on a singular deep learning model for either temporal or spatial feature extraction, with a serial sequence of spatial feature extraction followed by temporal feature extraction. Such methodologies tend to exhibit shortcomings in adequately capturing the
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Dissertations / Theses on the topic "Feature Adaptation"

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Harris, Matthew. "Flow feature aligned mesh generation and adaptation." Thesis, University of Sheffield, 2013. http://etheses.whiterose.ac.uk/4192/.

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Methods which allow for construction of flow feature aligned meshes in two- and three-dimensions have been developed in this thesis to investigate their potential for improvements in the numerical solution relative to globally refining the mesh. Of particular interest in the work is the generation of high-quality quadrilateral and hexahedral elements aligned with the dominant flow features. The two-dimensional techniques are applied on unstructured quad-dominant meshes, whilst the three-dimensional problems involve embedding high-quality hex-dominant mesh blocks into a hybrid volume mesh to im
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Stoltzfus, Daniel Paul. "Predictions on markedness and feature resilience in loanword adaptation." Doctoral thesis, Université Laval, 2014. http://hdl.handle.net/20.500.11794/25567.

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Normalement, un emprunt est adapté afin que ses éléments étrangers s’intègrent au système phonologique de la langue emprunteuse. Certains auteurs (cf. Miao 2005; Steriade 2001b, 2009) ont soutenu que, lors de l’adaptation d’une consonne, les traits de manière d’articulation sont plus résistants au changement que les traits laryngaux (ex. : le voisement) ou que ceux de place. Mes résultats montrent cependant que les traits de manière (ex. : [±continu]) sont impliqués dans les adaptations consonantiques aussi fréquemment que les autres traits (ex. [±voisé] et [±antérieur]). Par exemple, le /Z/ f
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Lu, Jianhua. "Missing feature decoding and model adaptation for noisy speech recognition." Thesis, Queen's University Belfast, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.527938.

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Zennaro, Fabio. "Feature distribution learning for covariate shift adaptation using sparse filtering." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/feature-distribution-learning-for-covariate-shift-adaptation-using-sparse-filtering(67989db2-b8a0-4fac-8832-f611e9236ed5).html.

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This thesis studies a family of unsupervised learning algorithms called feature distribution learning and their extension to perform covariate shift adaptation. Unsupervised learning is one of the most active areas of research in machine learning, and a central challenge in this field is to develop simple and robust algorithms able to work in real-world scenarios. A traditional assumption of machine learning is the independence and identical distribution of data. Unfortunately, in realistic conditions this assumption is often unmet and the performances of traditional algorithms may be severely
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Collet, Philippe. "Taming Complexity of Large Software Systems: Contracting, Self-Adaptation and Feature Modeling." Habilitation à diriger des recherches, Université de Nice Sophia-Antipolis, 2011. http://tel.archives-ouvertes.fr/tel-00657444.

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Nos travaux s'inscrivent dans le domaine du génie logiciel pour les systèmes informatiques à large échelle. Notre objectif est de fournir des techniques et des outils pour aider les architectes logiciels à maîtriser la complexité toujours grandissante de ces systèmes. Principalement fondées sur des approches par ingénierie des modèles, nos contributions s'organisent autour de trois axes. Le premier axe concerne le développement de systèmes à la fois fiables et flexibles, et ce à base de composants hiérarchiques équipés de capacités de reconfiguration dynamique. Par l'utilisation de nouvelles f
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Yang, Baoyao. "Distribution alignment for unsupervised domain adaptation: cross-domain feature learning and synthesis." HKBU Institutional Repository, 2018. https://repository.hkbu.edu.hk/etd_oa/556.

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In recent years, many machine learning algorithms have been developed and widely applied in various applications. However, most of them have considered the data distributions of the training and test datasets to be similar. This thesis concerns on the decrease of generalization ability in a test dataset when the data distribution is different from that of the training dataset. As labels may be unavailable in the test dataset in practical applications, we follow the effective approach of unsupervised domain adaptation and propose distribution alignment methods to improve the generalization abil
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Ahn, Euijoon. "Unsupervised Deep Feature Learning for Medical Image Analysis." Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/23002.

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The availability of annotated image datasets and recent advances in supervised deep learning methods are enabling the end-to-end derivation of representative image features that can impact a variety of image analysis problems. These supervised methods use prior knowledge derived from labelled training data and approaches, for example, convolutional neural networks (CNNs) have produced impressive results in natural (photographic) image classification. CNNs learn image features in a hierarchical fashion. Each deeper layer of the network learns a representation of the image data that is higher le
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TURRISI, Rosanna. "On Deep Learning strategies to address Automatic Speech Recognition (ASR) for dysarthric speech." Doctoral thesis, Università degli studi di Ferrara, 2021. http://hdl.handle.net/11392/2488127.

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This thesis explores deep learning techniques to improve Automatic Speech Recognition (ASR) for people affected by dysarthria. Dysarthria is a widely spread motor disorder causing high speech unintelligibility and, often, also motor control abnormalities. Hence, ASR-based technologies may represent the only possibility for dysarthric individuals to interact with other people or machines. Unfortunately, traditional ASR systems fail in presence of dysarthric speech. For instance, we tested Google Speech API and IBM on a subset of the TORGO dataset. These provide more than 80% of WER, while the
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Lock, G. "'Petticoat Sailor' to 'She Crossing' : adaptation in process : a writer's reflection on adapting a feature length screenplay into a novel." Thesis, Nottingham Trent University, 2015. http://irep.ntu.ac.uk/id/eprint/27947/.

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This PhD thesis consists of a novel entitled 'She Crossing', and a Commentary. The Commentary reflects on my practice of constructing the novel by adapting it from my previously existing screenplay, 'Petticoat Sailor'. They both derive from 'The Seafaring Maiden', a Nova Scotian newspaper article dating from 1957. All of these narratives are concerned with a nineteenth-century woman who had to captain a commercial sailing ship across the Atlantic. My screenplay, 'Petticoat Sailor', is set entirely in the nineteenth century. Both the newspaper article and my novel frame the protagonist’s voyage
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Kleynhans, Neil Taylor. "Automatic speech recognition for resource-scarce environments / N.T. Kleynhans." Thesis, North-West University, 2013. http://hdl.handle.net/10394/9668.

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Automatic speech recognition (ASR) technology has matured over the past few decades and has made significant impacts in a variety of fields, from assistive technologies to commercial products. However, ASR system development is a resource intensive activity and requires language resources in the form of text annotated audio recordings and pronunciation dictionaries. Unfortunately, many languages found in the developing world fall into the resource-scarce category and due to this resource scarcity the deployment of ASR systems in the developing world is severely inhibited. In this thesis we pre
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Books on the topic "Feature Adaptation"

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Loiselle, André. Stage-bound: Feature film adaptations of Canadian and Québécois drama. McGill-Queen's University Press, 2004.

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Valut︠s︡kiĭ, Vladimir, and Leonid Kvinikhidze. Mėri Poppins, do svidanii︠a︡. "Krupnyĭ Plan", 2011.

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Paradzhanov, Sergeĭ. The legend of Suram fortress: Ashik Kerib. Kino Video, 2001.

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Litvinova, Renata. Severnyĭ veter. Seans, 2021.

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Kundera, Milan. Žert: The joke. Facets Video, 2001.

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Blackledge, J. T. (John T.) and Bond Frank W, eds. Acceptance and commitment therapy: Distinctive features. Routledge, 2011.

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Stoppard, Tom, and Rainer Werner Fassbinder. Despair. Olive Films, 2011.

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Sun', Sinkay, and Irina Zhirova. "How steel was tempered" by Nikolai Ostrovsky: linguistic and cultural features of translation into Chinese and English. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2131556.

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The monograph presents the actual problems of intercultural adaptation of a literary text in the aspect of linguistic and cultural studies. The linguistic and cultural features of the author's text are compared. Ostrovsky's "How Steel was Tempered" and his translations into Chinese and English. The issues of evolutionary change in the general theory of translation, new directions in translation studies directly related to the intercultural adaptation of literary text are discussed. A translated literary text is considered as a socio-cultural object of cognition of the cultural and historical o
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Nicholson, Jack. The shining. Warner Home Video, 1999.

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Wajda, Andrzej. Pan Tadeusz. Filmart, 2000.

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Book chapters on the topic "Feature Adaptation"

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Monaghan, Whitney, and Stuart Richards. "Adapting Queer Shorts to Feature Films: Does Size Really Matter?" In Queer/Adaptation. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05306-2_9.

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Bi, Ying, Bing Xue, and Mengjie Zhang. "Random Forest-Assisted GP for Feature Learning." In Adaptation, Learning, and Optimization. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65927-1_9.

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Bi, Ying, Bing Xue, and Mengjie Zhang. "GP with Image-Related Operators for Feature Learning." In Adaptation, Learning, and Optimization. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65927-1_7.

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Bi, Ying, Bing Xue, and Mengjie Zhang. "GP for Simultaneous Feature Learning and Ensemble Learning." In Adaptation, Learning, and Optimization. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65927-1_8.

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Mori, Marco, and Anthony Cleve. "Feature-Based Adaptation of Database Schemas." In Model-Based Methodologies for Pervasive and Embedded Software. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38209-3_6.

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Jing, Zhang, and Ren Yonggong. "Robust Multi-feature Extreme Learning Machine." In Proceedings in Adaptation, Learning and Optimization. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01520-6_13.

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Cui, Fengli, Yinghao Chen, Yuntao Du, Yikang Cao, and Chongjun Wang. "Joint Feature and Labeling Function Adaptation for Unsupervised Domain Adaptation." In Advances in Knowledge Discovery and Data Mining. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05933-9_34.

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Bhatnagar, Shalabh, Vivek S. Borkar, and L. A. Prashanth. "Adaptive Feature Pursuit: Online Adaptation of Features in Reinforcement Learning." In Reinforcement Learning and Approximate Dynamic Programming for Feedback Control. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118453988.ch23.

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Yan, Weiqing, Shuigen Wang, Guanghui Yue, Jindong Xu, Xiangrong Tong, and Laihua Wang. "Feature Points Selection for Rectangle Panorama Stitching." In Proceedings in Adaptation, Learning and Optimization. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23307-5_13.

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Nainani, Jatin, Nirman Taterh, Md Ausaf Rashid, and Ankit Khivasara. "Feature-Rich Long-Term Bitcoin Trading Assistant." In Proceedings in Adaptation, Learning and Optimization. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-31164-2_36.

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Conference papers on the topic "Feature Adaptation"

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Cho, Younggeol, Youngrae Kim, Junho Yoon, Seunghoon Hong, and Dongman Lee. "Feature Augmentation Based Test-Time Adaptation." In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, 2025. https://doi.org/10.1109/wacv61041.2025.00665.

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Yu, Xiaowei, Zhe Huang, and Zao Zhang. "Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation." In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, 2025. https://doi.org/10.1109/wacv61041.2025.00657.

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Ding, Shuai, Liqun Kuang, Qingde Li, Yongqiang Cheng, Huiyan Han, and Yaming Cao. "Multi-Feature Enhancement and Adaptation for Lightweight Human Behavior Recognition." In 2024 29th International Conference on Automation and Computing (ICAC). IEEE, 2024. http://dx.doi.org/10.1109/icac61394.2024.10718736.

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Shi, Lemin, Xin Feng, Dianxin Song, Ping Gong, Ming Yue, and Yuan Si. "Fluorescence Feature Image: Fluorescence Enhancement Method Based on Illumination Adaptation." In 2024 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO). IEEE, 2024. https://doi.org/10.1109/3m-nano61605.2024.10769658.

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Wu, Junbao, and Hao Meng. "DADETR: Feature Alignment-based Domain Adaptation for Ship Object Detection." In 2024 IEEE International Conference on Mechatronics and Automation (ICMA). IEEE, 2024. http://dx.doi.org/10.1109/icma61710.2024.10633006.

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Wang, Jiaqi, Tobias Schlagenhauf, and Setareh Maghsudi. "Federated Learning with Heterogeneous Feature Adaptation for Human Activity Recognition." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10889340.

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wang, yan. "Feature adaptation network for skin lesion segmentation in medical images." In 4th International Conference on Electronic Information Engineering and Data Processing (EIEDP 2025), edited by Azlan Bin Mohd Zain and Lei Chen. SPIE, 2025. https://doi.org/10.1117/12.3067089.

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Pukall, Mario, Norbert Siegmund, and Walter Cazzola. "Feature-oriented runtime adaptation." In the 2009 ESEC/FSE workshop. ACM Press, 2009. http://dx.doi.org/10.1145/1596495.1596506.

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Uribe, Diego, and Enrique Cuan. "Feature Distributions in Domain Adaptation." In 2012 IEEE Electronics, Robotics and Automotive Mechanics Conference (CERMA). IEEE, 2012. http://dx.doi.org/10.1109/cerma.2012.33.

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Qi, Yuzhi, Mao Zheng, Hongquan Li, and Xiaorui Zhao. "Distribution Adaptation and Discriminative Feature Learning for Unsupervised Domain Adaptation." In 2023 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML). IEEE, 2023. http://dx.doi.org/10.1109/icicml60161.2023.10424828.

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Reports on the topic "Feature Adaptation"

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Morse, P. D., R. J. H. Parker, W. E. Sladen, S L Smith, and H. B. O'Neill. Remote permafrost terrain mapping, Grays Bay-Yellowknife corridor, Northwest Territories and Nunavut. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330206.

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The new Grays Bay - Yellowknife corridor will provide transportation, energy, and telecommunications to northcentral Canada, and connect existing highway infrastructure to a deep-sea port on the Arctic Ocean. This infrastructure will improve access for exploration and development, and reduce operating costs in this mineral-rich region of the Northwest Territories and Nunavut, one of the biggest impediments to development in this region. Relatively little information on permafrost and ground ice conditions is available for most of the corridor. To fill this information gap, the Geological Surve
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Ricci, Glenn, Sarah Gaines, and Amanda Babson. Integrated coastal climate change vulnerability assessment: George Washington Birthplace National Monument. National Park Service, 2024. http://dx.doi.org/10.36967/2304901.

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Through a series of workshops, a team of National Park Service, University of Rhode Island and related experts conducted a climate change vulnerability assessment to integrate issues across natural resources, cultural resources, and facilities for George Washington Birthplace National Monument (NM). This assessment used existing methods (Ricci et al. 2019a) and data, and expert knowledge to understand the general trends in current (2022) and future (2050, 2100) vulnerability and adaptive capacity. Climate stressors included sea level rise (SLR), storm surge, flooding, erosion rates, and precip
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Rossbach, Niclas. Intelligence and data resilience: A small state perspective on digitalisation and national defence towards the 2030s. Swedish Defence University, 2024. https://doi.org/10.62061/iibr1180.

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Due to the increased reliance of governments on digital data, it is probably safe to suggest that, without it, there would be no state left to defend. Because, without data, there might not even be a continuity of government, and consequently no state, in a time of crisis. Hence, this paper looks at critical national digital data as a key feature of national security. This paper shows why and how the protection of digitalised critical national data is important for a country’s defence at different levels of conflict, both below and above the threshold of armed conflict. This issue can be studi
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Vargas Martinez, Juan de Jesús, A. M. Sierra, Yesid Avellaneda Avellaneda, Olga Lucía Mayorga Mogollón, and Claudia Janeth Ariza Nieto. Establishment and production of ryegrass and clover in two Colombian highland regions. Corporación Colombiana de Investigación Agropecuaria - AGROSAVIA, 2018. http://dx.doi.org/10.21930/agrosavia.poster.2018.8.

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In Colombia, the specialized dairy systems are supported in forages use. However, edaphic and weather features are related with production and compositional quality of grasses. In this sense, it is important to recognize resilient fodder species to pastoral systems. The objective was to evaluate the establishment (covert proportion (%, Cp) and adaptation grade (0 to 3 scale, Ag) and production (dry matter yield (kg DM.ha-1, Dm) and net energy lactation (Mcal.kg DM-1 , Nl) of five perennial ryegrasses (three diploid and two tetraploid) and three clovers (two reds and one white) in two regions o
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Keenan, Jesse, Benjamin Trump, William Hynes, and Igor Linkov. Exploring the convergence of resilience processes and sustainable outcomes in post-COVID, post-Glasgow economies. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49591.

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Resilience and sustainability have each offered a path forward for post-COVID economic recovery and a post-Glasgow global financial order. Yet, the relationships between these two concepts are largely unexplored in economic policy and investment strategies. In light of emerging systemic risks and global demands for more resolute investments in resilience and sustainability, this perspective article took the position that policymakers must begin to draw greater conceptual, empirical, and practical linkages between sustainability and resilience. This perspective article provided a simplified fra
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Landqvist, Sara. Nordic Conference on Genetic Resources: Possibilities and Urgency: – Report from conference arranged by NordGen in Hyllie, Malmö. Nordic Genetic Resource Center (NordGen), 2025. https://doi.org/10.53780/kmsk4343.

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December 11, 2024, NordGen arranged a conference titled ‘Nordic Conference on Genetic Resources: Possibilities and Urgency’ in Malmö, Sweden. The conference was also streamed worldwide. This report contains summaries of the conference findings and recommendations. The conference was opened by the Swedish Minister of Rural Affairs, Peter Kullgren, and the Secretary General of the Nordic Council of Ministers, Karen Ellemann and featured 12 speakers from a wide range of areas connected to different fields of genetic resources. About 140 participants attended the conference on-site in Malmö and al
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Kelly, Luke. Lessons on Disaster Resilience Pogramming in Pakistan. Institute of Development Studies, 2021. http://dx.doi.org/10.19088/k4d.2021.057.

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This rapid literature review finds that lessons drawn from disaster resilience programmes in Pakistan are focused on the best ways to co-ordinate between different resilience work in different sectors. This can be difficult because of the number of NGOs with different sectoral expertise, short time frames for intervention, and the differing capacities of levels of Pakistani government. More generally, although the benefits of linking disaster risk reduction (DRR) to climate change adaptation (CCA) and development work are advocated in many policies, the fact that they are often undertaken by d
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Iatsyshyn, Anna V., Valeriia O. Kovach, Yevhen O. Romanenko, et al. Application of augmented reality technologies for preparation of specialists of new technological era. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3749.

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Augmented reality is one of the most modern information visualization technologies. Number of scientific studies on different aspects of augmented reality technology development and application is analyzed in the research. Practical examples of augmented reality technologies for various industries are described. Very often augmented reality technologies are used for: social interaction (communication, entertainment and games); education; tourism; areas of purchase/sale and presentation. There are various scientific and mass events in Ukraine, as well as specialized training to promote augmente
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Introduction Success of Less Common Species from the Genus Berberis L. Ukrainian Journal of Ecology, 2019. http://dx.doi.org/10.31812/123456789/3641.

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The study dealt with the patterns of adaptation of the genus Berberis L. low-abundant alien plants to the climatic conditions of the steppe zone of Ukraine. The success of the introduction, which was conducted on the territory of the Botanical Garden of Oles Honchar Dnipro National University (city of Dnipro) near 60 years ago, was evaluated by a set of indicators. According to the study of phenological rhythms, introduced plants can be characterized as plants with a relatively short growing season, a relatively long shoot growth, a short flowering period and a long maturing period. This indic
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The Experience of Latin America and the Caribbean in Urbanization: Knowledge Sharing Forum on Development Experiences: Comparative Experiences of Korea and Latin America and the Caribbean. Inter-American Development Bank, 2015. http://dx.doi.org/10.18235/0007004.

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The developing region that has experienced one of the greatest urban growth in the world is Latin America and the Caribbean (LAC). More than 80% of its population currently lives in cities and this figure is projected to reach 90% in 25 years. As part of this process, we can identify different urbanization trends across the region: slow growth rates of megacities due to lower levels of rural-urban migration and greater intra-city migration; high growth rates of mid-size cities; and urban footprints growing faster than populations. Therefore, this more contained growth in larger cities, the exi
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