Relevant bibliographies by topics / Retrieval models

Contents

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

Academic literature on the topic 'Retrieval models'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Retrieval models"

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Lipponen, Antti, Tero Mielonen, Mikko R. A. Pitkänen, Robert C. Levy, Virginia R. Sawyer, Sami Romakkaniemi, Ville Kolehmainen, and Antti Arola. "Bayesian aerosol retrieval algorithm for MODIS AOD retrieval over land." Atmospheric Measurement Techniques 11, no. 3 (March 19, 2018): 1529–47. http://dx.doi.org/10.5194/amt-11-1529-2018.

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Abstract. We have developed a Bayesian aerosol retrieval (BAR) algorithm for the retrieval of aerosol optical depth (AOD) over land from the Moderate Resolution Imaging Spectroradiometer (MODIS). In the BAR algorithm, we simultaneously retrieve all dark land pixels in a granule, utilize spatial correlation models for the unknown aerosol parameters, use a statistical prior model for the surface reflectance, and take into account the uncertainties due to fixed aerosol models. The retrieved parameters are total AOD at 0.55 µm, fine-mode fraction (FMF), and surface reflectances at four different w
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Norquist, Donald C., Paul R. Desrochers, Patrick J. McNicholl, and John R. Roadcap. "A Characterization of Cirrus Cloud Properties That Affect Laser Propagation." Journal of Applied Meteorology and Climatology 47, no. 5 (May 1, 2008): 1322–36. http://dx.doi.org/10.1175/2007jamc1756.1.

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Abstract Future high-altitude laser systems may be affected by cirrus clouds. Laser transmission models were applied to measured and retrieved cirrus properties to determine cirrus impact on power incident on a target or receiver. A major goal was to see how well radiosondes and geostationary satellite imagery could specify the required properties. Based on the use of ground-based radar and lidar measurements as a reference, errors in cirrus-top and cirrus-base height estimates from radiosonde observations were 20%–25% of geostationary satellite retrieval errors. Radiosondes had a perfect cirr
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Karthikeyan, Lanka, Ming Pan, Dasika Nagesh Kumar, and Eric F. Wood. "Effect of Structural Uncertainty in Passive Microwave Soil Moisture Retrieval Algorithm." Sensors 20, no. 4 (February 24, 2020): 1225. http://dx.doi.org/10.3390/s20041225.

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Passive microwave sensors use a radiative transfer model (RTM) to retrieve soil moisture (SM) using brightness temperatures (TB) at low microwave frequencies. Vegetation optical depth (VOD) is a key input to the RTM. Retrieval algorithms can analytically invert the RTM using dual-polarized TB measurements to retrieve the VOD and SM concurrently. Algorithms in this regard typically use the τ-ω types of models, which consist of two third-order polynomial equations and, thus, can have multiple solutions. Through this work, we find that uncertainty occurs due to the structural indeterminacy that i
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Field, R. D., C. Risi, G. A. Schmidt, J. Worden, A. Voulgarakis, A. N. LeGrande, A. H. Sobel, and R. J. Healy. "A Tropospheric Emission Spectrometer HDO/H<sub>2</sub>O retrieval simulator for climate models." Atmospheric Chemistry and Physics Discussions 12, no. 6 (June 5, 2012): 13827–80. http://dx.doi.org/10.5194/acpd-12-13827-2012.

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Abstract. Retrievals of the isotopic composition of water vapor from the Aura Tropospheric Emission Spectrometer (TES) have unique value in constraining moist processes in climate models. Accurate comparison between simulated and retrieved values requires that model profiles that would be poorly retrieved are excluded, and that an instrument operator be applied to the remaining profiles. Typically, this is done by sampling model output at satellite measurement points and using the quality flags and averaging kernels from individual retrievals at specific places and times. This approach is not
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Field, R. D., C. Risi, G. A. Schmidt, J. Worden, A. Voulgarakis, A. N. LeGrande, A. H. Sobel, and R. J. Healy. "A Tropospheric Emission Spectrometer HDO/H<sub>2</sub>O retrieval simulator for climate models." Atmospheric Chemistry and Physics 12, no. 21 (November 12, 2012): 10485–504. http://dx.doi.org/10.5194/acp-12-10485-2012.

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Abstract. Retrievals of the isotopic composition of water vapor from the Aura Tropospheric Emission Spectrometer (TES) have unique value in constraining moist processes in climate models. Accurate comparison between simulated and retrieved values requires that model profiles that would be poorly retrieved are excluded, and that an instrument operator be applied to the remaining profiles. Typically, this is done by sampling model output at satellite measurement points and using the quality flags and averaging kernels from individual retrievals at specific places and times. This approach is not
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van Diedenhoven, B., O. P. Hasekamp, and I. Aben. "Surface pressure retrieval from SCIAMACHY measurements in the O<sub>2</sub>A Band: validation of the measurements and sensitivity on aerosols." Atmospheric Chemistry and Physics Discussions 5, no. 2 (March 14, 2005): 1469–99. http://dx.doi.org/10.5194/acpd-5-1469-2005.

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Abstract. We perform surface pressure retrievals from cloud-free Oxygen A band measurements of SCIAMACHY. These retrievals can be well validated because surface pressure is a quantity that is, in general, accurately known from meteorological models. Therefore, surface 5 pressure retrievals and their validation provide important insight into the quality of the instrument calibration. Furthermore, they can provide insight into retrievals which are affected by similar radiation transport processes, for example the retrieval of total columns of H2O, CO, CO2 and CH4. In our retrieval aerosols are n
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Gong, J., and D. L. Wu. "CloudSat-constrained cloud ice water path and cloud top height retrievals from MHS 157 and 183.3 GHz radiances." Atmospheric Measurement Techniques 7, no. 6 (June 26, 2014): 1873–90. http://dx.doi.org/10.5194/amt-7-1873-2014.

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Abstract. Ice water path (IWP) and cloud top height (ht) are two of the key variables in determining cloud radiative and thermodynamical properties in climate models. Large uncertainty remains among IWP measurements from satellite sensors, in large part due to the assumptions made for cloud microphysics in these retrievals. In this study, we develop a fast algorithm to retrieve IWP from the 157, 183.3 ± 3 and 190.3 GHz radiances of the Microwave Humidity Sounder (MHS) such that the MHS cloud ice retrieval is consistent with CloudSat IWP measurements. This retrieval is obtained by constraining
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Gong, J., and D. L. Wu. "CloudSat-constrained cloud ice water path and cloud top height retrievals from MHS 157 and 183.3 GHz radiances." Atmospheric Measurement Techniques Discussions 6, no. 5 (September 4, 2013): 8187–233. http://dx.doi.org/10.5194/amtd-6-8187-2013.

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Abstract. Ice water path (IWP) and cloud top height (ht) are two of the key variables to determine cloud radiative and thermodynamical properties in the climate models. Large uncertainty remains among IWP measurements from satellite sensors, in large part due to the assumptions made for cloud microphysics in these retrievals. In this study, we develop a fast algorithm to retrieve IWP from the 157, 183.3 ± 3 and 190.3 GHz radiances of Microwave Humidity Sounder (MHS) such that the MHS cloud ice retrieval is consistent with CloudSat IWP measurements. This retrieval is obtained by constraining th
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Chimah, Jonathan N., and Friday Ibiam Ude. "Current trends in information retrieval systems: review of fuzzy set theory and fuzzy Boolean retrieval models." Journal of Library Services and Technologies 2, no. 2 (June 2020): 48–56. http://dx.doi.org/10.47524/jlst.v2i2.5.

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This paper reviews the concept and goal of Information Retrieval Systems (IRSs). It also explains the synonymous concepts in Information Retrieval (IR)which include such terms as: imprecision, vagueness, uncertainty, and inconsistency. Current trends in IRSs are discussed. Fuzzy Set Theory, Fuzzy Retrieval Modelsare reviewed. The paper also discusses extensions of Fuzzy Boolean Retrieval Models including Fuzzy techniques for documents’ indexingandFlexible query languages. Fuzzy associative mechanisms were identified to include:(1)fuzzy pseudothesauri and fuzzy ontologies which can be used to c
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van Diedenhoven, B., O. P. Hasekamp, and I. Aben. "Surface pressure retrieval from SCIAMACHY measurements in the O<sub>2</sub> A Band: validation of the measurements and sensitivity on aerosols." Atmospheric Chemistry and Physics 5, no. 8 (August 11, 2005): 2109–20. http://dx.doi.org/10.5194/acp-5-2109-2005.

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Abstract. We perform surface pressure retrievals from cloud-free Oxygen A band measurements of SCIAMACHY. These retrievals can be well validated because surface pressure is a quantity that is, in general, accurately known from meteorological models. Therefore, surface pressure retrievals and their validation provide important insight into the quality of the instrument calibration. Furthermore, they can provide insight into retrievals which are affected by similar radiation transport processes, for example the retrieval of total columns of H2O, CO, CO2 and CH4. In our retrieval aerosols are neg
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Dissertations / Theses on the topic "Retrieval models"

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Stathopoulos, Vassilios. "Generative probabilistic models for image retrieval." Thesis, University of Glasgow, 2012. http://theses.gla.ac.uk/3360/.

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Searching for information is a recurring problem that almost everyone has faced at some point. Being in a library looking for a book, searching through newspapers and magazines for an old article or searching through emails for an old conversation with a colleague are some examples of the searching activity. These are some of the many situations where someone; the “user”; has some vague idea of the information he is looking for; an “information need”; and is searching through a large number of documents, emails or articles; “information items”; to find the most “relevant” item for his purpose.
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Morgan, Richard. "Component library retrieval using property models." Thesis, Durham University, 1991. http://etheses.dur.ac.uk/6095/.

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The re-use of products such as code, specifications, design decisions and documentation has been proposed as a method for increasing software productivity and reliability. A major problem that has still to be adequately solved is the storage and retrieval of re-usable 'components'. Current methods, such as keyword retrieval and catalogues, rely on the use of names to describe components or categories. This is inadequate for all but a few well established components and categories; in the majority of cases names do not convey sufficient information on which to base a decision to retrieve. One a
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Vasconcelos, Nuno Miguel Borges de Pinho Cruz de. "Bayesian models for visual information retrieval." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/62947.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2000.<br>Includes bibliographical references (leaves 192-208).<br>This thesis presents a unified solution to visual recognition and learning in the context of visual information retrieval. Realizing that the design of an effective recognition architecture requires careful consideration of the interplay between feature selection, feature representation, and similarity function, we start by searching for a performance criteria that can simultaneously guide the design of
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Mensink, Thomas. "Learning Image Classification and Retrieval Models." Thesis, Grenoble, 2012. http://www.theses.fr/2012GRENM113/document.

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Nous assistons actuellement à une explosion de la quantité des données visuelles. Par exemple, plusieurs millions de photos sont partagées quotidiennement sur les réseaux sociaux. Les méthodes d'interprétation d'images vise à faciliter l'accès à ces données visuelles, d'une manière sémantiquement compréhensible. Dans ce manuscrit, nous définissons certains buts détaillés qui sont intéressants pour les taches d'interprétation d'images, telles que la classification ou la recherche d'images, que nous considérons dans les trois chapitres principaux. Tout d'abord, nous visons l'exploitation de la n
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Rebai, Ahmed. "Interactive Object Retrieval using Interpretable Visual Models." Phd thesis, Université Paris Sud - Paris XI, 2011. http://tel.archives-ouvertes.fr/tel-00608467.

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This thesis is an attempt to improve visual object retrieval by allowing users to interact with the system. Our solution lies in constructing an interactive system that allows users to define their own visual concept from a concise set of visual patches given as input. These patches, which represent the most informative clues of a given visual category, are trained beforehand with a supervised learning algorithm in a discriminative manner. Then, and in order to specialize their models, users have the possibility to send their feedback on the model itself by choosing and weighting the patches t
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Pérez-Sancho, Carlos. "Stochastic language models for music information retrieval." Doctoral thesis, Universidad de Alicante, 2009. http://hdl.handle.net/10045/14217.

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Tam, Kwok Leung. "Indexing and retrieval of 3D articulated geometry models." Thesis, Durham University, 2009. http://etheses.dur.ac.uk/21/.

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In this PhD research study, we focus on building a content-based search engine for 3D articulated geometry models. 3D models are essential components in nowadays graphic applications, and are widely used in the game, animation and movies production industry. With the increasing number of these models, a search engine not only provides an entrance to explore such a huge dataset, it also facilitates sharing and reusing among different users. In general, it reduces production costs and time to develop these 3D models. Though a lot of retrieval systems have been proposed in recent years, search en
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Mjali, Siyabonga Zimozoxolo. "Latent semantic models : a study of probabilistic models for text in information retrieval." Diss., University of Pretoria, 2020. http://hdl.handle.net/2263/73881.

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Large volumes of text is being generated every minute which necessitates effective and robust tools to retrieve relevant information. Supervised learning approaches have been explored extensively for this task, but it is difficult to secure large collections of labelled data to train this set of models. Since a supervised approach is too expensive in terms of annotating data, we consider unsupervised methods such as topic models and word embeddings in order to represent corpora in lower dimensional semantic spaces. Furthermore, we investigate different distance measures to capture similarity b
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Belkacem, Thiziri. "Neural models for information retrieval : towards asymmetry sensitive approaches based on attention models." Thesis, Toulouse 3, 2019. http://www.theses.fr/2019TOU30167.

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Ce travail se situe dans le contexte de la recherche d'information (RI) utilisant des techniques d'intelligence artificielle (IA) telles que l'apprentissage profond (DL). Il s'intéresse à des tâches nécessitant l'appariement de textes, telles que la recherche ad-hoc, le domaine du questions-réponses et l'identification des paraphrases. L'objectif de cette thèse est de proposer de nouveaux modèles, utilisant les méthodes de DL, pour construire des modèles d'appariement basés sur la sémantique de textes, et permettant de pallier les problèmes de l'inadéquation du vocabulaire relatifs aux représe
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Wessel, Raoul [Verfasser]. "Shape Retrieval Methods for Architectural 3D Models / Raoul Wessel." Bonn : Universitäts- und Landesbibliothek Bonn, 2014. http://d-nb.info/1048091503/34.

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Books on the topic "Retrieval models"

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Losee, Robert M. Text retrieval and filtering: Analytic models of performance. Dordrecht: Springer, 1998.

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Text retrieval and filtering: Analytic models of performance. Boston: Kluwer Academic Publishers, 1998.

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Crestani, Fabio. Information Retrieval: Uncertainty and Logics: Advanced Models for the Representation and Retrieval of Information. Boston, MA: Springer US, 1998.

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Aerts, Diederik, Andrei Khrennikov, Massimo Melucci, and Bourama Toni, eds. Quantum-Like Models for Information Retrieval and Decision-Making. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25913-6.

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Benois-Pineau, Jenny, and Patrick Le Callet, eds. Visual Content Indexing and Retrieval with Psycho-Visual Models. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57687-9.

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Next generation search engines: Advanced models for information retrieval. Hershey PA: Information Science Reference, 2012.

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Rambaud, Salvador Cruz. Algebraic models for accounting systems. Singapore: World Scientific, 2010.

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Qiu, Liwen. Probabilistic models of search state and path patterns in hypertext information retrieval systems. Ottawa: National Library of Canada, 1991.

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Paquette, Gilbert. Visual knowledge modeling for semantic web technologies: Models and ontologies. Hershey, PA: Information Science Reference, 2010.

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Lester, Neil. Assisting the software reuse process through classification and retrieval of software models. [s.l: The Author], 2000.

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Book chapters on the topic "Retrieval models"

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Stein, Benno, Tim Gollub, and Maik Anderka. "Retrieval Models." In Encyclopedia of Social Network Analysis and Mining, 1583–86. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-6170-8_117.

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Stein, Benno, Tim Gollub, and Maik Anderka. "Retrieval Models." In Encyclopedia of Social Network Analysis and Mining, 2251–56. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7131-2_117.

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Stein, Benno, Tim Gollub, and Maik Anderka. "Retrieval Models." In Encyclopedia of Social Network Analysis and Mining, 1–7. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4614-7163-9_117-1.

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Westerveld, Thijs, Arjen de Vries, and Franciska de Jong. "Generative Probabilistic Models." In Multimedia Retrieval, 177–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72895-5_6.

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Ceri, Stefano, Alessandro Bozzon, Marco Brambilla, Emanuele Della Valle, Piero Fraternali, and Silvia Quarteroni. "Information Retrieval Models." In Web Information Retrieval, 27–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39314-3_3.

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Amati, Giambattista. "Information Retrieval Models." In Encyclopedia of Database Systems, 1976–81. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_916.

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Amati, Giambattista. "Information Retrieval Models." In Encyclopedia of Database Systems, 1523–28. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_916.

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Amati, Giambattista. "Information Retrieval Models." In Encyclopedia of Database Systems, 1–7. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4899-7993-3_916-2.

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Metzler, Donald. "Classical Retrieval Models." In A Feature-Centric View of Information Retrieval, 7–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22898-8_2.

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Dominich, Sándor. "Information Retrieval Models." In Mathematical Modelling: Theory and Applications, 95–159. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0752-8_3.

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Conference papers on the topic "Retrieval models"

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Li, Min, J. Y. H. Fuh, Y. F. Zhang, and Z. M. Qiu. "General and Partial Shape Matching Approaches on Feature-Based CAD Models to Support Efficient Part Retrieval." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49159.

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Presently, mechanical design activities are almost fully digitalized and a large percentage of CAD models that are digitally created can be reused to facilitate new designs. Conventional alphanumeric-based part retrieval methods are error-prone. In order to support users to efficiently locate desirable parts to reuse, two novel knowledge-based approaches for feature-based model retrieval are proposed in the paper, namely general shape matching and partial shape matching, to assess CAD models by measuring their overall similarity without details and local similarity of sub-parts, respectively.
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Horstmann, Jochen, Wolfgang Koch, and Susanne Lehner. "High Resolution Wind Fields Retrieved From Spaceborne Synthetic Aperture Radar Images in Comparison to Numerical Models." In ASME 2002 21st International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2002. http://dx.doi.org/10.1115/omae2002-28301.

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This paper introduces a recently developed algorithm to retrieve high-resolution wind fields over the ocean surface from spaceborne synthetic aperture radar (SAR) data. The algorithm consists of two parts, the first for determining wind direction and the second for wind speed retrieval. Wind directions are extracted from wind induced streaks e.g. from boundary layer rolls, Langmuir cells, or wind shadowing, which are approximately in line with the mean wind direction. Wind speed is derived from the normalized radar cross section (NRCS) and image geometry of the SAR image, together with the loc
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de Rijke, Maarten. "Session details: Retrieval Models." In SIGIR '16: The 39th International ACM SIGIR conference on research and development in Information Retrieval. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/3252665.

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Ujjwal, Dasu, Prakhar Rastogi, and Siril Siddhartha. "Analysis of retrieval models for cross language information retrieval." In 2016 10th International Conference on Intelligent Systems and Control (ISCO). IEEE, 2016. http://dx.doi.org/10.1109/isco.2016.7727028.

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Udoyen, Nsikan, and David W. Rosen. "Description Logic Representation of Finite Element Analysis Models for Automated Retrieval." In ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99451.

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Adaptive reuse of archived parametric finite element analysis (FEA) models to model similar, new problems is an important part of the process of learning to apply the finite element method to specific domains. Retrieval of relevant archived models and supporting documents from electronic repositories is difficult when a modeler is unable to describe information needs precisely in a query using keywords. The use of description logic concepts to describe archived models and build expandable classification hierarchies to facilitate retrieval is proposed and illustrated. A domain-independent retri
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Nallapati, Ramesh. "Discriminative models for information retrieval." In the 27th annual international conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1008992.1009006.

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Choi, Jaeho, W. Bruce Croft, and Jin Young Kim. "Quality models for microblog retrieval." In the 21st ACM international conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2396761.2398527.

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Lipka, Nedim, and Benno Stein. "Robust Models in Information Retrieval." In 2011 22nd International Conference on Database and Expert Systems Applications (DEXA). IEEE, 2011. http://dx.doi.org/10.1109/dexa.2011.73.

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Bollmann, P., and S. K. M. Wong. "Adaptive linear information retrieval models." In the 10th annual international ACM SIGIR conference. New York, New York, USA: ACM Press, 1987. http://dx.doi.org/10.1145/42005.42023.

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Cortelazzo, G. M., and N. Orio. "Retrieval of Colored 3D Models." In Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06). IEEE, 2006. http://dx.doi.org/10.1109/3dpvt.2006.121.

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Reports on the topic "Retrieval models"

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Conser, Erik. Improved Scoring Models for Semantic Image Retrieval Using Scene Graphs. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.5767.

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McFarquhar, Greg. Determining Best Estimates and Uncertainties in Cloud Microphysical Parameters from ARM Field Data: Implications for Models, Retrieval Schemes and Aerosol-Cloud-Radiation Interactions. Office of Scientific and Technical Information (OSTI), December 2015. http://dx.doi.org/10.2172/1233352.

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Ng, Kenney. A Maximum Likelihood Ratio Information Retrieval Model. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada456243.

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Fordham, R. A. Tank waste remediation system simulation analysis retrieval model. Office of Scientific and Technical Information (OSTI), September 1996. http://dx.doi.org/10.2172/327599.

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Forbus, Kenneth D., Dedre Gentner, and Keith Law. MAC/FAC: A Model of Similarity-Based Retrieval. Fort Belvoir, VA: Defense Technical Information Center, October 1994. http://dx.doi.org/10.21236/ada286291.

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Forbus, Kenneth D., Dedre Gentner, and Keith Law. MAC/FAC: A Model of Similarity-Based Retrieval. Fort Belvoir, VA: Defense Technical Information Center, October 1994. http://dx.doi.org/10.21236/ada288515.

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Clark, H. The Opstat Client-Server Model for Statistics Retrieval. RFC Editor, September 1995. http://dx.doi.org/10.17487/rfc1856.

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Schillings, P. L., D. L. Heiser, and S. P. Fogdall. Buried waste program retrieval process conceptual model design. Office of Scientific and Technical Information (OSTI), December 1988. http://dx.doi.org/10.2172/6329901.

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9

Heiser, D. L., and S. P. Fogdall. Buried waste program retrieval process model: Revision 1. Office of Scientific and Technical Information (OSTI), March 1989. http://dx.doi.org/10.2172/6348672.

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Vachon, P. W., and F. W. Dobson. Wind Retrieval from RADARSAT SAR Images: Selection of a Suitable C-band HH Polarization Wind Retrieval Model. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2000. http://dx.doi.org/10.4095/219536.

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