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Relevant bibliographies by topics / Landmark Selection

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Academic literature on the topic 'Landmark Selection'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Landmark Selection"

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Wang, Huaxia, Yongmei Cheng, Nan Liu, Shun Yao, Juanjuan Ma, and Huibin Wang. "A Fast Selection Method of Landmarks for Terrain Matching Navigation." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 38, no. 5 (2020): 959–64. http://dx.doi.org/10.1051/jnwpu/20203850959.

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Under fixed imaging conditions, the landmark selection method based feature traversal analysis has high computational complexity. The hierarchical statistical significance detection method uses global statistical information for feature analysis to overcome the computational complexity problem caused by feature traversal analysis. The frequency domain de-correlation method can remove repeat mode in the image by adaptive Gaussian filtering on the amplitude-frequency characteristics. In this paper, combined the hierarchical statistical saliency detection method with the frequency domain de-corre

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Zenou, Emmanuel, and Manuel Samuelides. "Galois Lattice Theory for Probabilistic Visual Landmarks." JUCS - Journal of Universal Computer Science 10, no. (8) (2004): 1014–33. https://doi.org/10.3217/jucs-010-08-1014.

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This paper presents an original application of the Galois lattice theory, the visual landmark selection for topological localization of an autonomous mobile robot, equipped with a color camera. First, visual landmarks have to be selected in order to characterize a structural environment. Second, such landmarks have to be detected and updated for localization. These landmarks are combinations of attributes, and the selection process is done through a Galois lattice. This paper exposes the landmark selection process and focuses on probabilistic landmarks, which give the robot thorough informatio

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Zhu, Litao, Milan Konečný, Jie Shen, Zdeněk Stachoň, and Hana Švedová. "The Influence of Spatial Familiarity on Landmark Salience Sensibility Based on Eye Tracking." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-438-2019.

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<p><strong>Abstract.</strong> Landmarks play an important role in navigation especially when people in the familiar and unfamiliar environment. These landmarks are usually used for expressing their spatial knowledge. This prior knowledge is related to the spatial familiarity that the spatial knowledge is acquired by individuals as a function of their experience in the environment (Gale et al., 1990). Individuals prefers to take into highly account their familiar route within the environment. Furthermore, the route descriptions include the differed types of landmarks in famili

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Wu, Chi-Fang, Natasha S. Savage, and Daniel J. Lew. "Interaction between bud-site selection and polarity-establishment machineries in budding yeast." Philosophical Transactions of the Royal Society B: Biological Sciences 368, no. 1629 (2013): 20130006. http://dx.doi.org/10.1098/rstb.2013.0006.

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Saccharomyces cerevisiae yeast cells polarize in order to form a single bud in each cell cycle. Distinct patterns of bud-site selection are observed in haploid and diploid cells. Genetic approaches have identified the molecular machinery responsible for positioning the bud site: during bud formation, specific locations are marked with immobile landmark proteins. In the next cell cycle, landmarks act through the Ras-family GTPase Rsr1 to promote local activation of the conserved Rho-family GTPase, Cdc42. Additional Cdc42 accumulates by positive feedback, creating a concentrated patch of GTP-Cdc

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Liang, Dong, Chen Qiao, and Zongben Xu. "Enhancing Both Efficiency and Representational Capability of Isomap by Extensive Landmark Selection." Mathematical Problems in Engineering 2015 (2015): 1–18. http://dx.doi.org/10.1155/2015/241436.

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The problems of improving computational efficiency and extending representational capability are the two hottest topics in approaches of global manifold learning. In this paper, a new method called extensive landmark Isomap (EL-Isomap) is presented, addressing both topics simultaneously. On one hand, originated from landmark Isomap (L-Isomap), which is known for its high computational efficiency property, EL-Isomap also possesses high computational efficiency through utilizing a small set of landmarks to embed all data points. On the other hand, EL-Isomap significantly extends the representati

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Sala, P., R. Sim, A. Shokoufandeh, and S. Dickinson. "Landmark Selection for Vision-Based Navigation." IEEE Transactions on Robotics 22, no. 2 (2006): 334–49. http://dx.doi.org/10.1109/tro.2005.861480.

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Lerner, R., E. Rivlin, and I. Shimshoni. "Landmark Selection for Task-Oriented Navigation." IEEE Transactions on Robotics 23, no. 3 (2007): 494–505. http://dx.doi.org/10.1109/tro.2007.895070.

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Deng, Xiaotie, Evangelos Milios, and Andy Mirzaian. "Landmark selection strategies for path execution." Robotics and Autonomous Systems 17, no. 3 (1996): 171–85. http://dx.doi.org/10.1016/0921-8890(95)00042-9.

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Meunier, Pierre. "Use of Body Shape Information in Clothing Size Selection." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 38 (2000): 715–18. http://dx.doi.org/10.1177/154193120004403808.

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To investigate the role of body shape information on clothing size selection, a sample of 143 males were measured and sized using a computerized digital-image based measurement system. Clothing sizes were initially determined by the system using traditional criteria for the long sleeve shirt, jacket and trousers of a military dress uniform. The best-fitting size was determined by trial and error based on subjective feedback and expert judgement, provided by clothing and sizing technicians. Discriminant function analysis was used to determine sizing rules for each garment, based on different se

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Clayman, Carly L., Alakesh Mani, Suraj Bondugula, and Satish M. Srinivasan. "Tissue Classification Using Landmark and Non-Landmark Gene Sets for Feature Selection." Procedia Computer Science 185 (2021): 256–63. http://dx.doi.org/10.1016/j.procs.2021.05.027.

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Dissertations / Theses on the topic "Landmark Selection"

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Camp, John L. "3-D Model Characterization and Identification from Intrinsic Landmarks." Wright State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=wright1323135521.

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Chuang, Chieh-Hsiung, and 莊傑雄. "Mobile Landmark Recognition Based on Feature Selection." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/28154311120182442972.

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Tsai, Cheng-Ming, and 蔡政銘. "On Accelerating Multi-Layered Heterogeneous Network Representation Learning via Landmark Selection." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/4fm32b.

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碩士<br>國立交通大學<br>電機工程學系<br>106<br>Network representation, embedding large information networks into low dimensional vector spaces, has been widely studied in homogeneous networks. Deriving the latent representations of the information networks can apply to data analysis methods such as visualizing the entire network, classifying nodes into their belonging classes, and detecting communities. Representation serves a crucial role in those data analyzing tasks. Heterogeneous networks, containing more hidden features not available in homogeneous networks, however, are less studied. One straightforwa

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Lehman, Li-wei, and Steven Lerman. "PALM: Predicting Internet Network Distances Using Peer-to-Peer Measurements." 2003. http://hdl.handle.net/1721.1/3965.

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Landmark-based architecture has been commonly adopted in the networking community as a mechanism to measure and characterize a host's location on the Internet. In most existing landmark based approaches, end hosts use the distance measurements to a common, fixed set of landmarks to derive an estimated location on the Internet. This paper investigates whether it is possible for participating peer nodes in an overlay network to collaboratively construct an accurate geometric model of its topology in a completely decentralized peer-to-peer fashion, without using a fixed set of landmarks. We call

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Sung, Yueh-Ju, and 宋岳儒. "Destination Selection Based on Consensus-Selected Landmarks." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/24290015114884598934.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>102<br>Traditional destination searching methods in global positioning systems (GPS)require the user to either remember all or partial address, location, name, or phone number of a destination through the touch panel or voice control. The searching methods are not intuitive and safe when driving. This study aims at enhancing the destination look-up experience based on the fact that humans can easily recognize and remember images and icons of a location instead of texts. A user searches a destination by first navigating through a map with a set of sorted and oriented

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Sala, Pablo L. "Selection of an optimal set of landmarks for vision-based navigation." 2004. http://link.library.utoronto.ca/eir/EIRdetail.cfm?Resources__ID=94953&T=F.

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Taheri, Talesh Naimeh. "Regulation of Cell Polarity in the Budding Yeast Saccharomyces cerevisiae." Doctoral thesis, 2002. http://hdl.handle.net/11858/00-1735-0000-0006-AB94-E.

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Taft, Benjamin Nichols. "The Role of Dawn Song in Tree Swallows and its Place in the Diversity of Oscine Song Learning." 2011. https://scholarworks.umass.edu/open_access_dissertations/357.

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Aspects of the behavioral ecology of bird song learning are examined in three parts. First, an approach from image analysis is extended to allow rapid, quantitative description of animal sounds. In this approach, sounds are summarized as sets of time-frequency-amplitude landmarks. Second, the role of dawn song in tree swallow (Tachycineta bicolor) breeding biology is examined. Song syllable sharing among tree swallows was found to be high among birds nesting at the same site, but sharing was lower between birds nesting at different sites. When birds nested at different sites, the distance betw

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Books on the topic "Landmark Selection"

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FÁS (Organization). Public Affairs Division., ed. Landmarks: A selection of cultural & industrial heritage projects supported by FÁS. FÁS--Training and Employment Authority, 2002.

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Hans, Wisskirchen, ed. Dichter und ihre Häuser: Die Zukunft der Vergangenheit. Schmidt-Römhild, 2002.

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Sala, Pablo L. Selection of an optimal set of landmarks for vision-based navigation. 2004.

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Landmarks: A selection of cultural & industrial heritage projects supported by FÁS. FÁS, 2002.

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Booker, M. Keith, ed. Encyclopedia of Comic Books and Graphic Novels. Greenwood, 2010. http://dx.doi.org/10.5040/9798400628832.

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The most comprehensive reference ever compiled about the rich and enduring genre of comic books and graphic novels, from their emergence in the 1930s to their late-century breakout into the mainstream. At a time when graphic novels have expanded beyond their fan cults to become mainstream bestsellers and sources for Hollywood entertainment,Encyclopedia of Comic Books and Graphic Novelsserves as an exhaustive exploration of the genre's history, its landmark creators and creations, and its profound influence on American life and culture. Encyclopedia of Comic Books and Graphic Novelsfocuses on E

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Torrey, Norman L. Voltaire And The Enlightenment: Selections From Voltaire (Landmarks in History). Kessinger Publishing, LLC, 2007.

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Doudoulakis, Konstantinos. 50 Studies Every Orthopaedic Surgeon Should Know. Edited by Kapil Sugand and Hani B. Abdul-Jabar. Oxford University PressNew York, 2024. http://dx.doi.org/10.1093/med/9780190096656.001.0001.

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Abstract 50 Studies Every Orthopaedic Surgeon Should Know is a compilation of landmark studies from all subspecialties within emergency and elective trauma and orthopaedic practice. It is written in an accessible way, appropriate for an array of practicing experts, allied healthcare professionals, and students with the goal of disseminating findings from high-quality studies that have led to standardized clinical guidelines for front-line clinicians and real-world gains for patients. Chapters focus on key findings, implications for practice, study funding sources and conflicts of interest, cri

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LoBrutto, Vincent. Becoming Film Literate. Greenwood Publishing Group, Inc., 2005. http://dx.doi.org/10.5040/9798400617201.

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Though movies have remained our foremost cultural pastime for over 100 years, many of us still know very little about the tools used to create them. In this groundbreaking new book, Vincent LoBrutto provides an enjoyable and accessible education in the art of cinema: using 50 landmark films spanning the history of the medium, LoBrutto illustrates such important concepts as editing, production design, cinematography, sound, screen acting, narrative structure, and various genres, nationalities, and film eras. Each concept is illustrated by the selection of a film that epitomizes its use, so that

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Bouma, WJ, GI Pearman, and MR Manning, eds. Greenhouse: Coping with Climate Change. CSIRO Publishing, 1996. http://dx.doi.org/10.1071/9780643105034.

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Consideration of climate change deals increasingly with impacts and responses, and therefore involves a wide range of technical issues and a diverse community of experts. One of the challenges faced is that of ensuring effective communication between these different areas of expertise. For example, climate change studies require new types of collaboration between carbon cycle modellers and economists, and between meteorologists and coastal geomorphologists. Furthermore, there is a need to distil balanced assessments ranging across many disciplines for the benefit of all policymakers.Greenhouse

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Weir, Robert. Workers in America. ABC-CLIO, 2013. http://dx.doi.org/10.5040/9798216038696.

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This encyclopedia traces the evolution of American workers and labor organizations from pre-Revolutionary America through the present day. In 2001, Robert E. Weir's two-volumeHistorical Encyclopedia of American Laborwas chosen as a New York Public Library Best in Reference selection. Weir recently revised this groundbreaking resource, resulting in content that is more accessible, comprehensive, and timely. The newest edition,Workers in America: A Historical Encyclopedia, features updated entries, recent court cases, a chronology of key events, an enriched index, and an extensive bibliography f

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Book chapters on the topic "Landmark Selection"

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Kootstra, Gert, Sjoerd de Jong, and Lambert R. B. Schomaker. "Using Local Symmetry for Landmark Selection." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04667-4_10.

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Fu, Zhouyu. "Optimal Landmark Selection for Nyström Approximation." In Neural Information Processing. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12640-1_38.

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Tang, Liying, and Mark Crovella. "Geometric Exploration of the Landmark Selection Problem." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24668-8_7.

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Nuhn, Eva, and Sabine Timpf. "An Overall Framework for Personalised Landmark Selection." In Lecture Notes in Geoinformation and Cartography. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71470-7_12.

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Chella, Antonio, Irene Macaluso, and Lorenzo Riano. "Attention-Based Landmark Selection in Autonomous Robotics." In Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-77343-6_29.

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Strasdat, Hauke, Cyrill Stachniss, and Wolfram Burgard. "Learning Landmark Selection Policies for Mapping Unknown Environments." In Springer Tracts in Advanced Robotics. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19457-3_29.

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Perng, Chang-Shing, Sylvia R. Zhang, and D. Stott Parker. "The Landmark Model: An Instance Selection Method for Time Series Data." In Instance Selection and Construction for Data Mining. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-3359-4_7.

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Hochdorfer, Siegfried, Heiko Neumann, and Christian Schlegel. "Landmark Rating and Selection for SLAM in Dynamic Environments." In Intelligent Autonomous Systems 13. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-08338-4_30.

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Bian, Peng, Yi Jin, and Jiuwen Cao. "Facial Landmark Detection via ELM Feature Selection and Improved SDM." In Proceedings in Adaptation, Learning and Optimization. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57421-9_18.

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Ouerhani, Nabil, Heinz Hügli, Gabriel Gruener, and Alain Codourey. "A Visual Attention-Based Approach for Automatic Landmark Selection and Recognition." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-30572-9_14.

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Conference papers on the topic "Landmark Selection"

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Ammann, Nikolaus. "Evaluation of Automatic Landmark Selection Strategies for Navigation of Unmanned Aircraft." In 2025 IEEE Aerospace Conference. IEEE, 2025. https://doi.org/10.1109/aero63441.2025.11068698.

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Chang, Chun-Wei, Pei-Cih Zeng, and Ko-Chiu Wu. "Influence of Landmark Pictures and Induced Text on User Selection in Wayfinding Decision." In 2024 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan). IEEE, 2024. http://dx.doi.org/10.1109/icce-taiwan62264.2024.10674284.

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Pandimeena, R., Swapnil M. Parikh, Manisha Paliwal, and Shailesh Rastogi. "Enhanced Heterogeneous Defect Prediction through Landmark-Based Domain Adaptation and Selective Pseudo-Labeling." In 2025 International Conference on Knowledge Engineering and Communication Systems (ICKECS). IEEE, 2025. https://doi.org/10.1109/ickecs65700.2025.11035381.

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Nguyen, A., N. Milosavljevic, Q. Fang, J. Gao, and L. J. Guibas. "Landmark Selection and Greedy Landmark-Descent Routing for Sensor Networks." In IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications. IEEE, 2007. http://dx.doi.org/10.1109/infcom.2007.83.

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Guo, Yuchen, Guiguang Ding, Jungong Han, Chenggang Yan, Jiyong Zhang, and Qionghai Dai. "Landmark Selection for Zero-shot Learning." 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.2019/338.

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Zero-shot learning (ZSL) is an emerging research topic whose goal is to build recognition models for previously unseen classes. The basic idea of ZSL is based on heterogeneous feature matching which learns a compatibility function between image and class features using seen classes. The function is constructed based on one-vs-all training in which each class has only one class feature and many image features. Existing ZSL works mostly treat all image features equivalently. However, in this paper we argue that it is more reasonable to use some representative cross-domain data instead of all. Mo

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Frintrop, Simone, Patric Jensfelt, and Henrik Christensen. "Attentional Landmark Selection for Visual SLAM." In 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, 2006. http://dx.doi.org/10.1109/iros.2006.281711.

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Lerner, Ronen, Ehud Rivlin, and Ilan Shimshoni. "Landmark Selection for Task-Oriented Navigation." In 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, 2006. http://dx.doi.org/10.1109/iros.2006.282060.

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Beinhofer, Maximilian, Jorg Muller, Andreas Krause, and Wolfram Burgard. "Robust landmark selection for mobile robot navigation." In 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013). IEEE, 2013. http://dx.doi.org/10.1109/iros.2013.6696728.

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Souza, Andre, and Jayaram K. Udupa. "Automatic landmark selection for active shape models." In Medical Imaging, edited by J. Michael Fitzpatrick and Joseph M. Reinhardt. SPIE, 2005. http://dx.doi.org/10.1117/12.595463.

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Cui, Ying, and Zhong Jin. "AAM-Based Face Modeling and Landmark Selection." In 2010 Third International Conference on Information and Computing Science (ICIC). IEEE, 2010. http://dx.doi.org/10.1109/icic.2010.166.

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Reports on the topic "Landmark Selection"

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Widing, M. A. Route and landmark selection tool (RULST) : user's manual. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/795066.

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Rankin, Nicole, Deborah McGregor, Candice Donnelly, et al. Lung cancer screening using low-dose computed tomography for high risk populations: Investigating effectiveness and screening program implementation considerations: An Evidence Check rapid review brokered by the Sax Institute (www.saxinstitute.org.au) for the Cancer Institute NSW. The Sax Institute, 2019. http://dx.doi.org/10.57022/clzt5093.

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Background Lung cancer is the number one cause of cancer death worldwide.(1) It is the fifth most commonly diagnosed cancer in Australia (12,741 cases diagnosed in 2018) and the leading cause of cancer death.(2) The number of years of potential life lost to lung cancer in Australia is estimated to be 58,450, similar to that of colorectal and breast cancer combined.(3) While tobacco control strategies are most effective for disease prevention in the general population, early detection via low dose computed tomography (LDCT) screening in high-risk populations is a viable option for detecting asy

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Microbial Evolution: This report is based on a colloquium convened by the American Academy of Microbiology on August 28-30, 2009, in San Cristobal, Ecuador. American Society for Microbiology, 2011. http://dx.doi.org/10.1128/aamcol.28aug.2009.

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The year 2009 marked both the 200th anniversary of Darwin's birth and the 150th anniversary of the publication of his landmark book, On the Origin of Species. In August 2009, to celebrate these milestones, the American Academy of Microbiology convened a colloquium in the Galapagos Islands, where Darwin made some of his most crucial observations, to consider a new question: what would Darwin have made of the microbial world? The ability to sail to remote sites like the Galapagos, and access to specimens collected by himself and other avid naturalists, gave Darwin the information he needed to de

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