Relevant bibliographies by topics / Segmentation. eng

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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 'Segmentation. eng'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Segmentation. eng"

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Ouyang, Lipan, Jiandong Wu, Michael Zhang, Francis Lin, and Simon Liao. "Cell Segmentation and Tracking in Microfluidic Platform." Engineering 05, no. 10 (2013): 226–32. http://dx.doi.org/10.4236/eng.2013.510b047.

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Yan, Wenzhong, and Lei Bai. "Research of Segmentation Algorithms for Overlapping Chromosomes." Engineering 05, no. 10 (2013): 404–8. http://dx.doi.org/10.4236/eng.2013.510b082.

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Ouattara, Sié, Olivier Asseu, Alain Clément, and Bertrand Vigouroux. "Performance of a New Method of Multicomponent Images Segmentation in the Presence of Noise." Engineering 03, no. 11 (2011): 1082–89. http://dx.doi.org/10.4236/eng.2011.311134.

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Ouattara, Sié, Georges Laussane Loum, and Alain Clément. "Unsupervised Segmentation Method of Multicomponent Images based on Fuzzy Connectivity Analysis in the Multidimensional Histograms." Engineering 03, no. 03 (2011): 203–14. http://dx.doi.org/10.4236/eng.2011.33024.

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Blanco, Mathew, Xin Chen, and Yuling Yan. "A Restricted, Adaptive Threshold Segmentation Approach for Processing High-Speed Image Sequences of the Glottis." Engineering 05, no. 10 (2013): 357–62. http://dx.doi.org/10.4236/eng.2013.510b072.

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Luo, Suhuai, Xuechen Li, and Jiaming Li. "Improvement of Liver Segmentation by Combining High Order Statistical Texture Features with Anatomical Structural Features." Engineering 05, no. 05 (2013): 67–72. http://dx.doi.org/10.4236/eng.2013.55b014.

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Bojarczak, Piotr, and Piotr Lesiak. "UAVs in rail damage image diagnostics supported by deep-learning networks." Open Engineering 11, no. 1 (2021): 339–48. http://dx.doi.org/10.1515/eng-2021-0033.

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Abstract The article uses images from Unmanned Aerial Vehicles (UAVs) for rail diagnostics. The main advantage of such a solution compared to traditional surveys performed with measuring vehicles is the elimination of decreased train traffic. The authors, in the study, limited themselves to the diagnosis of hazardous split defects in rails. An algorithm has been proposed to detect them with an efficiency rate of about 81% for defects not less than 6.9% of the rail head width. It uses the FCN-8 deep-learning network, implemented in the Tensorflow environment, to extract the rail head by image s
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Sabzi, Sajad, Yousef Abbaspour-Gilandeh, and Hossein Javadikia. "Corrigendum to “Machine vision system for the automatic segmentation of plants under different lighting conditions” [Biosyst Eng 161, September 2017, 157–173]." Biosystems Engineering 163 (November 2017): 167. http://dx.doi.org/10.1016/j.biosystemseng.2017.09.003.

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Nguyen, Philon, Thanh An Nguyen, and Yong Zeng. "Segmentation of design protocol using EEG." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 33, no. 1 (2018): 11–23. http://dx.doi.org/10.1017/s0890060417000622.

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AbstractDesign protocol data analysis methods form a well-known set of techniques used by design researchers to further understand the conceptual design process. Verbal protocols are a popular technique used to analyze design activities. However, verbal protocols are known to have some limitations. A recurring problem in design protocol analysis is to segment and code protocol data into logical and semantic units. This is usually a manual step and little work has been done on fully automated segmentation techniques. Physiological signals such as electroencephalograms (EEG) can provide assistan
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van der Putten, Joost, Fons van der Sommen, Jeroen de Groof, et al. "Modeling clinical assessor intervariability using deep hypersphere encoder–decoder networks." Neural Computing and Applications 32, no. 14 (2019): 10705–17. http://dx.doi.org/10.1007/s00521-019-04607-w.

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AbstractIn medical imaging, a proper gold-standard ground truth as, e.g., annotated segmentations by assessors or experts is lacking or only scarcely available and suffers from large intervariability in those segmentations. Most state-of-the-art segmentation models do not take inter-observer variability into account and are fully deterministic in nature. In this work, we propose hypersphere encoder–decoder networks in combination with dynamic leaky ReLUs, as a new method to explicitly incorporate inter-observer variability into a segmentation model. With this model, we can then generate multip
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Dissertations / Theses on the topic "Segmentation. eng"

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Santos, Edinéia Aparecida dos. "Utilização de equações diferenciais parciais no tratamento de imagens orbitais /." Presidente Prudente : [s.n.], 2002. http://hdl.handle.net/11449/86816.

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Orientador: Erivaldo Antonio da Silva<br>Resumo: Este trabalho apresenta um modelo matemático alternativo aos filtros passa-baixas convencionais no Processamento Digital de Imagens. O modelo de Equação Diferencial Parcial (EDP) foi aplicado em imagens orbitais para extração das feições de interesse e os resultados obtidos foram comparados com os resultados do operador de Sobel e o Gradiente Morfológico. O modelo matemático utilizado no trabalho foi baseado na teoria de EDPs e surge como uma proposta metodológica alternativa para a área de Cartografia. O modelo de EDP consiste em aplicar seleti
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Gambarato, Renato Luiz 1980. "Desenvolvimento de um programa computacional para classificação do uso da terra em imagens CBERS 2 /." Botucatu : [s.n.], 2008. http://hdl.handle.net/11449/90643.

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Orientador: Célia Regina Lopes Zimback<br>Banca: Zacarias Xavier de Barros<br>Banca: Osmar Delmanto Junior<br>Resumo: Entre as diversas áreas de estudo reunidas sob o denominador comum de processamento digital de imagens, encontra-se a área conhecida como análise de imagens. Este campo de estudos visa ao desenvolvimento de técnicas que permitam extrair informações das imagens, possibilitando às pessoas e aos equipamentos maior poder de análise, resultando em maior suporte às decisões. Neste processo, uma etapa importante é a de segmentação que se refere à divisão da imagem em diversas partes e
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Yin, Ruiqing. "Steps towards end-to-end neural speaker diarization." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS261/document.

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La tâche de segmentation et de regroupement en locuteurs (speaker diarization) consiste à identifier "qui parle quand" dans un flux audio sans connaissance a priori du nombre de locuteurs ou de leur temps de parole respectifs. Les systèmes de segmentation et de regroupement en locuteurs sont généralement construits en combinant quatre étapes principales. Premièrement, les régions ne contenant pas de parole telles que les silences, la musique et le bruit sont supprimées par la détection d'activité vocale (VAD). Ensuite, les régions de parole sont divisées en segments homogènes en locuteur par d
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Fletcher, Mary H. "UK closed-end country funds : illiquidity, sentiment and segmentation." Thesis, University of Strathclyde, 2013. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=25545.

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In this thesis we investigate the relation between UK closed-end country fund pricing and measures of illiquidity, sentiment and segmentation. First, we examine whether the UK closed-end country fund premium is related to the illiquidity of the UK fund or the illiquidity of the country in which the fund invests. We also consider whether emerging market country funds behave differently in terms of their premium and illiquidity to developed market country funds, and in particular whether they offer more stability during the period of the recent financial crisis. Overall, we find country illiquid
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Zaylaa, Amer. "Multichannel EHG segmentation for automatically identifying contractions and motion artifacts." Thesis, Compiègne, 2019. http://www.theses.fr/2019COMP2521.

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Dans cette étude, nous avons mis l’accent sur la segmentation automatique des évènements dans le signal EMG utérin et l’identification ensuite des contractions parmi ces évènements en se référant aux données de l’expert. Notre base de données comprend des signaux EMG utérins de différentes semaines de gestation acquis grâce à une matrice de 4x4 électrodes. Par conséquent, notre travail a compris tout d’abord une application de la méthode de somme cumulé dynamique (DCS) en approche monodimensionnelle sur les signaux monopolaires afin d’obtenir une grande résolution spatiale des données. Suite a
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Löfhede, Johan. "The EEG of the neonatal brain : classification of background activity." Doctoral thesis, Högskolan i Borås, Institutionen Ingenjörshögskolan, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-3533.

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The brain requires a continuous supply of oxygen and nutrients, and even a short period of reduced oxygen supply can cause severe and lifelong consequences for the affected individual. The unborn baby is fairly robust, but there are of course limits also for these individuals. The mostsensitive and most important organ is the brain. When the brain is deprivedof oxygen, a process can start that ultimately may lead to the death of braincells and irreparable brain damage. This process has two phases; one more orless immediate and one delayed. There is a window of time of up to 24 hourswhere actio
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Varejão, Andreão Rodrigo. "Segmentation de battements ECG par approche markovienne : application à la détection d'ischémies." Evry, Institut national des télécommunications, 2004. http://www.theses.fr/2004TELE0004.

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L'enregistrement ambulatoire continu de l'électrocardiogramme par la méthode de Holter (ECG ambulatoire) pourvoit des informations pour le dépistage de l'ischémie myocardique pour des patients atteints d'une maladie coronarienne. Dans ce contexte, nous proposons un système automatique d'analyse d'ECG ambulatoire basé sur la fusion d'une approche markovienne et d'une approche heuristique capable de détecter des épisodes ischémiques. L'approche markovienne permet d'extraire du signal ECG les informations nécessaires à l'analyse du décalage du segment ST. Notre approche est capable de prendre en
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Wigington, Curtis Michael. "End-to-End Full-Page Handwriting Recognition." BYU ScholarsArchive, 2018. https://scholarsarchive.byu.edu/etd/7099.

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Despite decades of research, offline handwriting recognition (HWR) of historical documents remains a challenging problem, which if solved could greatly improve the searchability of online cultural heritage archives. Historical documents are plagued with noise, degradation, ink bleed-through, overlapping strokes, variation in slope and slant of the writing, and inconsistent layouts. Often the documents in a collection have been written by thousands of authors, all of whom have significantly different writing styles. In order to better capture the variations in writing styles we introduce a nove
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Senger, Saesha. "Gender, Politics, Market Segmentation, and Taste: Adult Contemporary Radio at the End of the Twentieth Century." UKnowledge, 2019. https://uknowledge.uky.edu/music_etds/150.

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This dissertation explores issues of gender politics, market segmentation, and taste through an examination of the contributions of several artists who have achieved Adult Contemporary (AC) chart success. The scope of the project is limited to a period when many artists who figured prominently in both the broader mainstream of American popular music and the more specific Adult Contemporary category were most commercially viable: from the mid-1980s through the 1990s. My contention is that, as gender politics and gendered social norms continued to change in the United States at this time, Adult
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Bansal, Angela R. "PRICING OF CLOSED-END COUNTRY FUNDS: EFFECT OF INVESTOR SENTIMENT, MARKET SEGMENTATION AND LOCAL MARKET FACTORS." University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin984591438.

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Books on the topic "Segmentation. eng"

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Kenneth, Lieberthal, ed. The end of corporate imperialism. Harvard Business Press, 2008.

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Jansen, David, Mark Hazell, Errol Roberts, and Brian Shlisky. Cross-Domain Segmentation with Intent-Based Networking: Delivering End-To-End Segmentation, Through an Automated, Software-defined Policy Model. Pearson Education, Limited, 2019.

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Parker, Philip M. The 2007 Report on Dried Egg Whites: World Market Segmentation by City. ICON Group International, Inc., 2006.

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The Breeding Habits and the Segmentation of the egg of the Pipefish. Franklin Classics, 2018.

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Rothbard, Nancy P., and Ariane Ollier-Malaterre. Boundary Management. Edited by Tammy D. Allen and Lillian T. Eby. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199337538.013.5.

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Boundary management is an important area within the field of work–life research. It is a set of cognitions and strategies by which people manage the critical boundaries between their multiple life domains. In this chapter, we embed this construct in its historical context from the industrial revolution to the present day. We review research that has accumulated on the different types of boundaries (e.g., spatial, temporal, relational, cognitive), the different dimensions of boundary management (segmentation versus integration preferences and behaviors, permeability, and control), as well as it
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Sonnentag, Sabine, Dana Unger, and Elisabeth Rothe. Recovery and the Work–Family Interface. Edited by Tammy D. Allen and Lillian T. Eby. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199337538.013.37.

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Recovery after work is essential in order to stay energetic when facing work demands. This chapter discusses how unwinding and restoration processes after work relate to experiences at the work–family interface. Empirical studies have shown that specific activities (e.g., sport and exercise) and experiences (e.g., psychological detachment from work during nonwork time) are important to achieve recovery. Boundary management strategies at the work–family interface (e.g., a preference for segmentation) predict recovery experiences. Moreover, recovery experiences moderate the relationship between
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Davis, George C., and Elena L. Serrano. Production and Profit Beyond the Farm Gate. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199379118.003.0013.

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Chapter 13 first looks at how changes at one level in the food supply chain may affect prices and quantities at another level via profit maximization. The chapter then considers firms that are closer to the consumer (e.g., restaurants) who will often be able to set their own prices and consider the analytics of profit maximization under this scenario. Utilizing this framework, the chapter considers the question: Are healthier foods more or less profitable than unhealthy foods? This leads naturally to a discussion of market segmentation, the limit of the market, and the distribution of healthy
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Book chapters on the topic "Segmentation. eng"

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Wanderley, Diego S., Catarina B. Carvalho, Ana Domingues, et al. "End-to-End Ovarian Structures Segmentation." In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13469-3_79.

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Vullings, H. J. L. M., M. H. G. Verhaegen, and H. B. Verbruggen. "ECG segmentation using time-warping." In Advances in Intelligent Data Analysis Reasoning about Data. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0052847.

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Moskalenko, Viktor, Nikolai Zolotykh, and Grigory Osipov. "Deep Learning for ECG Segmentation." In Studies in Computational Intelligence. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30425-6_29.

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Bognár, Gergő, and Sándor Fridli. "ECG Segmentation by Adaptive Rational Transform." In Computer Aided Systems Theory – EUROCAST 2019. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45096-0_43.

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Sevak, Mayur M., Dhruv Patel, Parikshit Mishra, and Vatsal Shah. "Abnormality Detection Based on ECG Segmentation." In Communications in Computer and Information Science. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3660-8_9.

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Caesar, Holger, Jasper Uijlings, and Vittorio Ferrari. "Region-Based Semantic Segmentation with End-to-End Training." In Computer Vision – ECCV 2016. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46448-0_23.

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Manohar, K. V., and Yusuke Niitani. "An End-to-End Tree Based Approach for Instance Segmentation." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11021-5_30.

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Hatamizadeh, Ali, Demetri Terzopoulos, and Andriy Myronenko. "End-to-End Boundary Aware Networks for Medical Image Segmentation." In Machine Learning in Medical Imaging. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32692-0_22.

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Cai, Jinzheng, Yingda Xia, Dong Yang, Daguang Xu, Lin Yang, and Holger Roth. "End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation." In Machine Learning in Medical Imaging. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32692-0_15.

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Vu, Minh H., Tufve Nyholm, and Tommy Löfstedt. "TuNet: End-to-End Hierarchical Brain Tumor Segmentation Using Cascaded Networks." In Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46640-4_17.

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Conference papers on the topic "Segmentation. eng"

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Vu, Minh H., Guus Grimbergen, Attila Simkó, Tufve Nyholm, and Tommy Löfstedt. "Localization Network and End-to-End Cascaded U-Nets for Kidney Tumor Segmentation." In 2019 Kidney Tumor Segmentation Challenge: KiTS19. University of Minnesota Libraries Publishing, 2019. http://dx.doi.org/10.24926/548719.073.

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Backfrieder, Werner. "A multi-modal data model for morphological segmentation in 3D dosimetry." In the 8th International Workshop on Innovative Simulation for Healthcare. CAL-TEK srl, 2019. http://dx.doi.org/10.46354/i3m.2019.iwish.004.

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"Patient specific dosimetry established during the last decade in modern radio-therapy. Usually, tracer kinetics in main compartments of observed metabolism is assessed from anterior and posterior whole body scans. The effective doses for each organ, derived by the MIRD scheme, provide evidence for following radiotherapeutic treatment and helps to meet vital dose limits for critical organs, e.g. kidneys. The calculation of individual dose in a three-dimensional context leads to more accurate dose estimates, as was proven by intensive research, but is still on the cusp to clinical application.
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Meng, Zhu, Zhongyue Fan, Zhicheng Zhao, and Fei Su. "ENS-Unet: End-to-End Noise Suppression U-Net for Brain Tumor Segmentation." In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2018. http://dx.doi.org/10.1109/embc.2018.8513676.

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Lan, Meng, Yipeng Zhang, Qinning Xu, and Lefei Zhang. "E3SN: Efficient End-to-End Siamese Network for Video Object Segmentation." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/98.

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In the semi-supervised video object segmentation (VOS) field, SiamMask has achieved competitive accuracy and the fastest running speed. However, the two-stage training procedure requires additional manual intervention, and using only single-level features does not maximize the rich hierarchical feature information. This paper proposes an efficient end-to-end Siamese network for VOS. In particular, a supervised sampling strategy is designed to optimize the training procedure. Such an optimization facilitates the training of the entire model in an end-to-end manner. Moreover, a multilevel featur
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Sun, Tiezhu, Wei Zhang, Zhijie Wang, Lin Ma, and Zequn Jie. "Image-level to Pixel-wise Labeling: From Theory to Practice." 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.2018/129.

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Conventional convolutional neural networks (CNNs) have achieved great success in image semantic segmentation. Existing methods mainly focus on learning pixel-wise labels from an image directly. In this paper, we advocate tackling the pixel-wise segmentation problem by considering the image-level classification labels. Theoretically, we analyze and discuss the effects of image-level labels on pixel-wise segmentation from the perspective of information theory. In practice, an end-to-end segmentation model is built by fusing the image-level and pixel-wise labeling networks. A generative network i
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Sikander Hayat Khiyal, Malik, Aihab Khan, and Amna Bibi. "Modified Watershed Algorithm for Segmentation of 2D Images." In InSITE 2009: Informing Science + IT Education Conference. Informing Science Institute, 2009. http://dx.doi.org/10.28945/3349.

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With the repaid advancement of computer technology, the use of computer-based technologies is increasing in different fields of life. Image segmentation is an important problem in different fields of image processing and computer vision. Image segmentation is the process of dividing images according to its characteristic e.g., color and objects present in the images. Different methods are presented for image segmentation. The focus of this study is the watershed segmentation. The tool used in this study is MATLAB. Good result of watershed segmentation entirely relay on the image contrast. Imag
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Li, Jing. "Neural Discourse Segmentation." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/949.

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Identifying discourse structures and coherence relations in a piece of text is a fundamental task in natural language processing. The first step of this process is segmenting sentences into clause-like units called elementary discourse units (EDUs). Traditional solutions to discourse segmentation heavily rely on carefully designed features. In this demonstration, we present SegBot, a system to split a given piece of text into sequence of EDUs by using an end-to-end neural segmentation model. Our model does not require hand-crafted features or external knowledge except word embeddings, yet it o
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Li, Jing, Aixin Sun, and Shafiq Joty. "SegBot: A Generic Neural Text Segmentation Model with Pointer Network." 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.2018/579.

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Text segmentation is a fundamental task in natural language processing that comes in two levels of granularity: (i) segmenting a document into a sequence of topical segments (topic segmentation), and (ii) segmenting a sentence into a sequence of elementary discourse units (EDU segmentation). Traditional solutions to the two tasks heavily rely on carefully designed features. The recently proposed neural models do not need manual feature engineering, but they either suffer from sparse boundary tags or they cannot well handle the issue of variable size output vocabulary. We propose a generic end-
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Dadoumont, J., J. M. Brossard, H. Davain, V. Massaut, Y. Demeulemeester, and M. Klein. "Dismantling of the BR3 Reactor Pressure Vessel." In ASME 2001 8th International Conference on Radioactive Waste Management and Environmental Remediation. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/icem2001-1280.

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Abstract The BR3 PWR is a small nuclear power plant (thermal power 40.9 MWth, net electrical power output 10.5 MWe), designed in the late fifties and started in 1962. It was definitely shut down in 1987. In 1989 the BR3 was selected by the European Union as pilot decommissioning project in the framework of its RTD programme on the decommissioning of nuclear installations. A pre-dismantling decontamination of the reactor primary loop was carried out and allowed to save doses to the operators. The savings are estimated to be up to about 4 to 7 man-Sv. The decommissioning project concerns mainly:
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Banerjee, Sayan, Avik Hati, Subhasis Chaudhuri, and Rajbabu Velmurugan. "CoSegNet: Image Co-segmentation using a Conditional Siamese Convolutional Network." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/95.

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The objective in image co-segmentation is to jointly segment unknown common objects from a given set of images. In this paper, we propose a novel deep convolution neural network based end-to-end co-segmentation model. It is composed of a metric learning and decision network leading to a novel conditional siamese encoder-decoder network for estimating a co-segmentation mask. The role of the metric learning network is to find an optimum latent feature space where objects of the same class are closer and that of different classes are separated by a certain margin. Depending on the extracted featu
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Reports on the topic "Segmentation. eng"

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Hodgdon, Taylor, Anthony Fuentes, Jason Olivier, Brian Quinn, and Sally Shoop. Automated terrain classification for vehicle mobility in off-road conditions. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40219.

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The U.S. Army is increasingly interested in autonomous vehicle operations, including off-road autonomous ground maneuver. Unlike on-road, off-road terrain can vary drastically, especially with the effects of seasonality. As such, vehicles operating in off-road environments need to be in-formed about the changing terrain prior to departure or en route for successful maneuver to the mission end point. The purpose of this report is to assess machine learning algorithms used on various remotely sensed datasets to see which combinations are useful for identifying different terrain. The study collec
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You might also be interested in the extended bibliographies on the topic 'Segmentation. eng' for particular source types:
Journal articles Dissertations / Theses
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