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Relevant bibliographies by topics / Feature based approach

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Academic literature on the topic 'Feature based approach'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Feature based approach"

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Yeol Lee, Jae, and Kwangsoo Kim. "A feature-based approach to extracting machining features." Computer-Aided Design 30, no. 13 (1998): 1019–35. http://dx.doi.org/10.1016/s0010-4485(98)00055-4.

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Zhi-Rong Zhong, Zhi-Rong Zhong, Hong-Fu Zuo Zhi-Rong Zhong, Shi-Ying Lei Hong-Fu Zuo, Jia-Chen Guo Shi-Ying Lei, and Heng Jiang Jia-Chen Guo. "Semi-supervised Learning Based EEG Detection Approach for Rehabilitation Engineering." 電腦學刊 33, no. 3 (2022): 099–111. http://dx.doi.org/10.53106/199115992022063303008.

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<p>A semi-supervised learning based EEG signal detection method was studied in this paper. The feature engineering system of this paper was established, which contains novel AutoEncoders mapping features. The optimal channel combination for all subjects was determined to improve recognition accuracy by ReliefF algorithm and recursive feature elimination. What&rsquo;s more, the semi-supervised learning method based on pseudo-labelling was introduced to the character recognition method, in which the training samples were dynamically reorganized and updated, so that the proposed method

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Jing, Zhang, sheng Kang Bao, Jiang Bo, and Zhang Di. "A novel sketch-based 3D model retrieval approach based on skeleton." International Journal of Informatics and Communication Technology (IJ-ICT) 8, no. 1 (2019): 1–12. https://doi.org/10.11591/ijict.v8i1.pp1-12.

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Since the skeleton represents the topology structure of the query sketch and 2D views of 3D model, this paper proposes a novel sketch-based 3D model retrieval algorithm which utilizes skeleton characteristics as the features to describe the object shape. Firstly, we propose advanced skeleton strength map (ASSM) algorithm to create the skeleton which computes the skeleton strength map by isotropic diffusion on the gradient vector field, selects critical points from the skeleton strength map and connects them by Kruskal's algorithm. Then, we propose histogram feature comparison algorithm whi

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GUAN, SHENG-UEI, YINAN QI, and CHUNYU BAO. "AN INCREMENTAL APPROACH TO MSE-BASED FEATURE SELECTION." International Journal of Computational Intelligence and Applications 06, no. 04 (2006): 451–71. http://dx.doi.org/10.1142/s1469026806002064.

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Feature selection plays an important role in classification systems. Using classifier error rate as the evaluation function, feature selection is integrated with incremental training. A neural network classifier is implemented with an incremental training approach to detect and discard irrelevant features. By learning attributes one after another, our classifier can find directly the attributes that make no contribution to classification. These attributes are marked and considered for removal. Incorporated with a minimum squared error (MSE) based feature ranking scheme, four batch removal meth

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Pachet, François, and Pierre Roy. "Analytical Features: A Knowledge-Based Approach to Audio Feature Generation." EURASIP Journal on Audio, Speech, and Music Processing 2009 (2009): 1–23. http://dx.doi.org/10.1155/2009/153017.

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Chaudhari, Kajalben Mohanbhai Mrs. Hetal Bhaidasna. "A Survey On Image Mosaicing Using Feature Based Approach." INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH Volume 5, Issue 1 | March 2017 (2017): Page Number(s) — 565–568. https://doi.org/10.5281/zenodo.583719.

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Image mosaicing is consider as an active research area in computer vision and computer graphics. Image stitching techniques can be categorized into two approaches: Direct technique and Feature based techniques. Direct techniques compare all the pixel intensities of the images with each other, and Feature based techniques used to determine a relationship between images through distinct features extracted from the processed images.

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Shapiro, Larry S., and J. Michael Brady. "Feature-based correspondence: an eigenvector approach." Image and Vision Computing 10, no. 5 (1992): 283–88. http://dx.doi.org/10.1016/0262-8856(92)90043-3.

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Qiao, Li Hong, and Jian Feng Wu. "An Approach to Region-Based Feature Recognition for Structural Parts." Advanced Materials Research 482-484 (February 2012): 2114–17. http://dx.doi.org/10.4028/www.scientific.net/amr.482-484.2114.

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Feature-based numerical control programming can enhance the process planning efficiency for complex structural parts in aeronautic industry. Feature recognition is often being a useful tool to the domain. In order to handle the variety and uncertainty of the feature interpretation of feature recognition of structural parts, a region-based feature recognition approach is proposed. On the basis of the characteristics of the structural parts, the approach employs the fact that topology surfaces of structural parts have directions, and utilizes region as the foundation of feature recognition. By r

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Thepade, Sudeep, Rik Das, and Saurav Ghosh. "Decision fusion-based approach for content-based image classification." International Journal of Intelligent Computing and Cybernetics 10, no. 3 (2017): 310–31. http://dx.doi.org/10.1108/ijicc-07-2016-0025.

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Purpose Current practices in data classification and retrieval have experienced a surge in the use of multimedia content. Identification of desired information from the huge image databases has been facing increased complexities for designing an efficient feature extraction process. Conventional approaches of image classification with text-based image annotation have faced assorted limitations due to erroneous interpretation of vocabulary and huge time consumption involved due to manual annotation. Content-based image recognition has emerged as an alternative to combat the aforesaid limitation

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Nardone, Davide, Angelo Ciaramella, and Antonino Staiano. "A Sparse-Modeling Based Approach for Class Specific Feature Selection." PeerJ Computer Science 5 (November 18, 2019): e237. http://dx.doi.org/10.7717/peerj-cs.237.

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In this work, we propose a novel Feature Selection framework called Sparse-Modeling Based Approach for Class Specific Feature Selection (SMBA-CSFS), that simultaneously exploits the idea of Sparse Modeling and Class-Specific Feature Selection. Feature selection plays a key role in several fields (e.g., computational biology), making it possible to treat models with fewer variables which, in turn, are easier to explain, by providing valuable insights on the importance of their role, and likely speeding up the experimental validation. Unfortunately, also corroborated by the no free lunch theorem

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Dissertations / Theses on the topic "Feature based approach"

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Wexelblat, Alan Daniel. "A feature-based approach to continuous-gesture analysis." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/29074.

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Johansson, Henrik. "Video Flow Classification : Feature Based Classification Using the Tree-based Approach." Thesis, Karlstads universitet, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-43012.

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This dissertation describes a study which aims to classify video flows from Internet network traffic. In this study, classification is done based on the characteristics of the flow, which includes features such as payload sizes and inter-arrival time. The purpose of this is to give an alternative to classifying flows based on the contents of their payload packets. Because of an increase of encrypted flows within Internet network traffic, this is a necessity. Data with known class is fed to a machine learning classifier such that a model can be created. This model can then be used for classific

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Dan, Qing. "A fuzzy rule-based approach for edge feature classification." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ39646.pdf.

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Lee, Jae-Woo. "Analytical approach to feature based process analysis and design." Ohio : Ohio University, 1996. http://www.ohiolink.edu/etd/view.cgi?ohiou1178222473.

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Jacquel, Dominique. "Design for manufacturability : a feature-based agent-driven approach." Thesis, University of Edinburgh, 2000. http://hdl.handle.net/1842/12212.

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This thesis presents a feature-based design system called MADSfm (MultiAgent Design System for manufacturability), which allows the creation of 21/2D mechanical components, performs on the fly manufacturability analysis and even solves common problems automatically. The system uses the multiagent paradigm at a feature level to create a new type of active product model. Indeed, each feature inside the product model is embodied by an autonomous agent capable of communicating with its peers, building an image of its world, assessing its fitness in this world and modifying its own geometry to guar

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Dimmock, S. I. "Machined part cost estimating in SMEs : a feature-driven case-based approach." Thesis, Cranfield University, 2010. http://dspace.lib.cranfield.ac.uk/handle/1826/5762.

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This thesis describes the application of a novel decision support process for machined part estimating in small and medium-sized engineering companies. Many SMEs tend to adopt manual estimating techniques, however this dependence on human expertise represents a risk to such organizations. Better information management in estimating can improve process performance and contribute to increased competitiveness. The research which is the subject of this thesis investigated whether a systems approach to machined part estimating would extend the capacity of an SME to manage knowledge more effectively

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Al, Harbi Abdullah Samaran A. "Text feature selection for relevance discovery: A fusion-based approach." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/199275/1/Abdullah%20Samaran%20A._Al%20Harbi_Thesis.pdf.

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This thesis presents innovative and effective feature selection models and frameworks to select and weight relevant features that describe user information needs. The proposed techniques fuse different text features to overcome problems in latent Dirichlet allocation and the relevant features discovered by existing relevance discovery algorithms. The proposed models and frameworks extend multiple random sets to model and understand the complex relationships between different entities that affect the weighting process of topical terms at both document- and collection-levels. The proposed techni

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Jiang, Ming. "A feature-based approach to visualizing and mining simulation data." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1119020006.

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Thesis (Ph. D.)--Ohio State University, 2005.<br>Title from first page of PDF file. Document formatted into pages; contains xvi, p. 116; also includes graphics. Includes bibliographical references (p. 108-116). Available online via OhioLINK's ETD Center

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Tessier, Sean Michael. "Ontology-based approach to enable feature interoperability between CAD systems." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41118.

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Data interoperability between computer-aided design (CAD) systems remains a major obstacle in the information integration and exchange in a collaborative engineering environment. The standards for CAD data exchange have remained largely restricted to geometric representations, causing the design intent portrayed through construction history, features, parameters, and constraints to be discarded in the exchange process. In this thesis, an ontology-based framework is proposed to allow for the full exchange of semantic feature data. A hybrid ontology approach is proposed, where a shared base onto

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Febransyah, Ade. "A Feature-Based Approach to Automating High-Level Process Planning." NCSU, 2001. http://www.lib.ncsu.edu/theses/available/etd-20010711-140320.

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<p>High-level process planning plays an important role in determining candidate process domains at the configuration design stage. Changing the processes domainslater increases the product development cycle and the product development cost. Therefore, determining the most appropriate manufacturing processes at thebeginning stages of the design process becomes critical. However, high-level process planning systems have traditionally lacked integration of design synthesis anddesign evaluation. The main objective of this research has been to develop a FEature-Based Design And Process Planning (FE

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Books on the topic "Feature based approach"

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Iskra, Dorota Jolanta. Feature-based approach to speech recognition. University of Birmingham, 2000.

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Bennett, P. A. Feature-based approaches to grammar. UMIST, 1995.

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Gruzdeva, Viktoriya, Georgiy Gruzdev, Yuliya Klyueva, and Vlada Konova. Development of the service sector based on a customer-oriented approach. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1977989.

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In the monograph, the use of the civilizational paradigm of the analysis of economic processes and phenomena allows us to consider the specifics of the functioning of the hospitality industry in the conditions of the formation of the information economy. The features of the client-oriented approach in its institutional and dynamic dimensions are revealed. Special attention is paid to inclusive technologies in the field of hospitality. The result of the analysis of the features of the formation of the institutional model of the hotel business in the Nizhny Novgorod region is presented. On

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Devyatkin, Oleg, Andrey Bystrov, Nina Akulenko, et al. Economics of the organization. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/1959272.

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The textbook "Economics of Organization" is the result of many years of teaching experience and scientific research by the staff of the Department of Industrial Economics at the Plekhanov Russian University of Economics. In preparing this publication, the authors relied on research and educational experience in the development and teaching of academic disciplines in the field of management and economic development of industrial enterprises. A distinctive feature is a systematic approach to the structure and presentation of educational material based on leading scientific schools on the process

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Kozhevina, Ol'ga, and Natal'ya Salienko. Strategic change management. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1045608.

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The textbook is developed on the basis of competence-based and interdisciplinary approaches, contains theoretical foundations for the formation, change, development and improvement of organization management systems in a dynamic environment, as well as methodological aspects of the development and practical implementation of strategic changes. The publication examines the features of strategic changes, the technology of change management, reflects the models and principles of organizational changes, defines the prerequisites for the development of scenarios for the development of the organizat

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Prokof'ev, Stanislav, Ekaterina Kameneva, Svetlana Solyannikova, et al. Ecosystem of universities: transformation of the Russian education system. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1901313.

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The relevance of the monograph is determined by changes in the surrounding reality, the development of the digital economy, which actively influences the formation and development of ecosystems of business, banking, public services, etc.; the need to determine the main trends in the development of the modern ecosystem of universities for the formation of in-demand graduates able to work in the special conditions of modern development of Russia, which determines the formation of a new educational environment, based on the challenges facing our country. All this will contribute to a deeper and m

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Harchenko, Vera. Creativity in colloquial speech: rare techniques, little-studied facts. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2174705.

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Based on previously published five-volume anthologies and a number of new publications, the problem of a creative approach to modern colloquial speech in terms of supplementing it with poorly researched facts is posed. New theoretical questions are raised: innovative techniques, quantitative characteristics, variable dynamics of spoken language, spoken language as a set of unique features. The rich, personally collected material serves as a means of confirming the "old" and opens up new meanings in colloquial discourse. The monograph is intended for specialists in spoken language and for all t

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Morozko, Nina. Technologies of lending to small and medium-sized businesses in the conditions of digitalization of the economy. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/2029823.

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In the monograph, in the process of studying the problems of lending to small and medium-sized businesses in modern conditions, factors affecting the conditions of business financing, the shortage of financial resources of Russian companies are identified. The analysis of the financial instruments of lending to small and medium-sized businesses in the digital environment is carried out. The current directions of development of financial instruments of business lending are considered. Based on a systematic approach to the issues under study, technologies for lending to small and medium-sized bu

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Danchenko, Sergey. The Beginnings of Security Pedagogy. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1371146.

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The monograph is devoted to the study of the problem of the formation and development of security pedagogy in the context of the philosophical understanding of the phenomenon of security. Based on the analysis of works devoted to the problems of human security, the most general theoretical provisions of this field of knowledge are determined. The actual problems of the science of safety are formulated, the concepts of "danger" and "safety" as philosophical categories are defined. The theoretical and methodological foundations of the scientific direction of life safety and safety pedagogy are p

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Belkin, Yuriy, Dmitriy Zav'yalov, Nadezhda Zav'yalova, et al. Entrepreneurial ecosystems and networks in the distributed economy: mechanisms of sustainable development in the sphere of commodity circulation. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1914700.

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The monograph uses extensive scientific and practical material to study the state, trends, features and prospects for the development of entrepreneurial ecosystems and networks in the field of commodity circulation. The original methodological approach allowed us to form not only a comprehensive understanding of the mechanism of sustainable development in the field of commodity circulation, but also to identify the industry specifics of ecosystems based on various platform solutions. Criteria of sustainable development and patterns of possible development of entrepreneurial ecosystems in the c

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Book chapters on the topic "Feature based approach"

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Nowak-Brzezińska, Agnieszka. "Feature Selection Approach for Rule-Based Knowledge Bases." In Advances in Feature Selection for Data and Pattern Recognition. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67588-6_9.

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Covões, Thiago F., Eduardo R. Hruschka, Leandro N. de Castro, and Átila M. Santos. "A Cluster-Based Feature Selection Approach." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02319-4_20.

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Zhang, Zhihong, and Edwin R. Hancock. "A Graph-Based Approach to Feature Selection." In Graph-Based Representations in Pattern Recognition. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20844-7_21.

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Kusunoki, Yoshifumi, and Masahiro Inuiguchi. "Structure-Based Attribute Reduction: A Rough Set Approach." In Feature Selection for Data and Pattern Recognition. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45620-0_7.

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Raza, Muhammad Summair, and Usman Qamar. "Dominance-Based Rough Set Approach." In Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9166-9_8.

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Minaei-Bidgoli, Behrouz, Maryam Asadi, and Hamid Parvin. "An Ensemble Based Approach for Feature Selection." In Engineering Applications of Neural Networks. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23957-1_27.

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Trosten, Daniel J., and Puneet Sharma. "Unsupervised Feature Extraction – A CNN-Based Approach." In Image Analysis. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20205-7_17.

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Lee, S. S. G., and L. P. Khoo. "An Approach to Feature-Based Inspection Planning." In Proceedings of the Twenty-Ninth International Matador Conference. Macmillan Education UK, 1992. http://dx.doi.org/10.1007/978-1-349-12433-6_42.

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Zhang, Zhihong, and Edwin R. Hancock. "A Hypergraph-Based Approach to Feature Selection." In Computer Analysis of Images and Patterns. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23672-3_28.

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Gomes, A., R. Bidarra, and J. Teixeira. "A Cellular Approach for Feature-Based Modeling." In Beiträge zur Graphischen Datenverarbeitung. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77811-7_11.

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Conference papers on the topic "Feature based approach"

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Sahu, Dimpy, and Suvendu Rup. "Sign Language Recognition using CLBP and DWT features with KPCA-based Feature Reduction Approach." In 2024 Asian Conference on Intelligent Technologies (ACOIT). IEEE, 2024. https://doi.org/10.1109/acoit62457.2024.10940001.

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Saw, Abhishek Kumar, and Suvendu Rup. "Diabetic Retinopathy Detection using DWT and NGTDM Features with PCA-Based Feature Reduction Approach." In 2024 IEEE 1st International Conference on Advances in Signal Processing, Power, Communication, and Computing (ASPCC). IEEE, 2024. https://doi.org/10.1109/aspcc62191.2024.10881373.

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Sahu, Dimpy, and Suvendu Rup. "Sign Language Recognition using GLCM and ResNet50 features with PPCA-based Feature Reduction Approach." In 2024 IEEE 1st International Conference on Advances in Signal Processing, Power, Communication, and Computing (ASPCC). IEEE, 2024. https://doi.org/10.1109/aspcc62191.2024.10881904.

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Narayan, Shyam V., and Zhi-Kui Ling. "Heuristics Based Feature Recognition: A Graph Approach." In ASME 1994 Design Technical Conferences collocated with the ASME 1994 International Computers in Engineering Conference and Exhibition and the ASME 1994 8th Annual Database Symposium. American Society of Mechanical Engineers, 1994. http://dx.doi.org/10.1115/detc1994-0070.

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Abstract Feature based modeling has been used as a means to bridge the gap between engineering design and manufacturing. Features can represent an artifact with higher level entities which relate directly to its design functionalities and manufacturing characteristics, such as surface finish, manufacturability, fits, tolerance etc. In this study, a heuristic based feature recognition approach is proposed by using the graph representation of a design. The process consists of two steps: subgraph construction, and subgraph to feature identification. In this study, the subgraph construction is acc

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Schwering, Piet B. W. "Model-based feature fusion approach." In Aerospace/Defense Sensing, Simulation, and Controls, edited by Abinash C. Dubey, James F. Harvey, J. Thomas Broach, and Vivian George. SPIE, 2001. http://dx.doi.org/10.1117/12.445434.

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Gandhi, A., and A. Myklebust. "A Natural Language Approach to Feature Based Modeling." In ASME 1989 Design Technical Conferences. American Society of Mechanical Engineers, 1989. http://dx.doi.org/10.1115/detc1989-0021.

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Abstract Traditionally design geometries are represented using orthographic views which require a human being to interpret them and recognize geometric features to evaluate the design. Solid modeling systems have made the task somewhat easier, but they often require tedious and complex operations using simple geometric primitives to create a model assembly. This has led to investigation of modeling systems which allow the creation of assemblies the way engineers conceive them — as features. To be able to efficiently describe models in terms of features, a rich set of feature descriptors is nec

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Chang, Terry K. K., Brian C. H. Ho, and M. M. F. Yuen. "Human Modelling: A Constraint-Based Feature Modelling Approach." In ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/dac-34061.

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Constraint-based feature modelling is a promising approach for object modelling. During the feature creation and modification, the relationships between features are well described and maintained. This eliminates the tedious work for constructing a complex feature-based model and provides an efficient method for shape modification. However, most of the feature representation schemes cover only the regular object domain. The application in sculpture object domain has been put aside. In this paper, the constraint-based feature modelling approach for sculpture object such as human body will be in

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Xu, X. William. "A Feature-Based Approach for Representing Composite Components." In ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/dfm-34193.

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The progress with which composite materials are being used in industry has been staggering. The methods, processes and procedures of developing and manufacturing composite materials have always been the center stage for the composite materials research and applications. While feature technologies, in particular feature-based design, have been widely practiced by many in the areas of designing and manufacturing conventional materials, one has not yet seen it help to reap the benefits for composite materials manufacturing. This paper proposed a feature-based approach for representing composite c

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Padhy, Sisir K., R. Sharan, and S. N. Dwivedi. "Feature Based Approach for Casting Design." In ASME 1990 Design Technical Conferences. American Society of Mechanical Engineers, 1990. http://dx.doi.org/10.1115/detc1990-0116.

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Abstract The conceptual stage design is very crucial in a design phase because maximum flexibility lies in this stage. The product can be changed or redesigned to achieve the optimum blend of quality and cost. The factors that influence the design include: shape complexity factor of the product, material, and processing parameters. In the casting design, the shape-complexity factor plays a vital role in deciding the location of the gates and risers and hence in feeding system design. Feature based design is adopted for the evaluation of the shape complexity factor. The implementation of this d

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Iskra, Dorota J., and William H. Edmondson. "Feature-based approach to speech recognition." In 5th International Conference on Spoken Language Processing (ICSLP 1998). ISCA, 1998. http://dx.doi.org/10.21437/icslp.1998-529.

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Reports on the topic "Feature based approach"

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Vrabel, Michael J. An Approach to Feature-Based Face Recognition. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada390706.

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Sadoune, Igor, Marcelin Joanis, and Andrea Lodi. Implementing a Hierarchical Deep Learning Approach for Simulating multilevel Auction Data. CIRANO, 2023. http://dx.doi.org/10.54932/lqog8430.

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We present a deep learning solution to address the challenges of simulating realistic synthetic first-price sealed-bid auction data. The complexities encountered in this type of auction data include high-cardinality discrete feature spaces and a multilevel structure arising from multiple bids associated with a single auction instance. Our methodology combines deep generative modeling (DGM) with an artificial learner that predicts the conditional bid distribution based on auction characteristics, contributing to advancements in simulation-based research. This approach lays the groundwork for cr

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Quinn, Brian, Jordan Bates, Michael Parker, and Sally Shoop. A detailed approach to autonomous vehicle control through Ros and Pixhawk controllers. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42460.

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A Polaris MRZR military utility vehicle was used as a testing platform to develop a novel, low cost yet feature-rich, approach to adding remote operation and autonomous driving capability to a military vehicle. The main concept of operation adapts steering and throttle output from a low cost commercially available Pixhawk autopilot controller and translates the signal into the necessary inputs for the Robot Operating System (ROS) based drive by wire system integrated into the MRZR. With minimal modification these enhancements could be applied to any vehicle with similar ROS integration. This p

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Ma, Yue, and Felix Distel. Learning Formal Definitions for Snomed CT from Text. Technische Universität Dresden, 2013. http://dx.doi.org/10.25368/2022.193.

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Snomed CT is a widely used medical ontology which is formally expressed in a fragment of the Description Logic EL++. The underlying logics allow for expressive querying, yet make it costly to maintain and extend the ontology. Existing approaches for ontology generation mostly focus on learning superclass or subclass relations and therefore fail to be used to generate Snomed CT definitions. In this paper, we present an approach for the extraction of Snomed CT definitions from natural language texts, based on the distance relation extraction approach. By benefiting from a relatively large amount

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Rana, Arnav, and Sanjay Tiku. PR-214-223806-R01 Guidance for Performing Engineering Critical Assessments for Dents on Natural Gas Pipelines. Pipeline Research Council International, Inc. (PRCI), 2023. http://dx.doi.org/10.55274/r0000044.

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This project builds on mechanical damage (MD) assessment and management tools, developed on behalf of Pipeline Research Council International (PRCI), Interstate Natural Gas Association of America (INGAA), Canadian Energy Pipeline Association (CEPA), American Petroleum Institute (API), other research organizations and individual pipeline operators and included in API RP 1183 [1]. These include dent shape, restraint condition and interacting feature characterization; operational maximum and cyclic internal pressure characterization, screening tools defining non-injurious dent shapes based on pip

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Lalisse, Matthias. Measuring the Impact of Campaign Finance on Congressional Voting: A Machine Learning Approach. Institute for New Economic Thinking Working Paper Series, 2022. http://dx.doi.org/10.36687/inetwp178.

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How much does money drive legislative outcomes in the United States? In this article, we use aggregated campaign finance data as well as a Transformer based text embedding model to predict roll call votes for legislation in the US Congress with more than 90% accuracy. In a series of model comparisons in which the input feature sets are varied, we investigate the extent to which campaign finance is predictive of voting behavior in comparison with variables like partisan affiliation. We find that the financial interests backing a legislator’s campaigns are independently predictive in both chambe

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Lutz, Carsten. TheComplexity of Reasoning with Concrete Domains (Revised Version). Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.88.

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Description logics are knowledge representation and reasoning formalisms which represent conceptual knowledge on an abstract logical level. Concrete domains are a theoretically well-founded approach to the integration of description logic reasoning with reasoning about concrete objects such as numbers, time intervals or spatial regions. In this paper, the complexity of combined reasoning with description logcis and on concrete domains is investigated. We extend ALC(D), which is the basic description logic for reasoning with concrete domains, by the operators 'feature agreement' and 'feature di

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Read, Matthew, and Dan Zhu. Fast Posterior Sampling in Tightly Identified SVARs Using 'Soft' Sign Restrictions. Reserve Bank of Australia, 2025. https://doi.org/10.47688/rdp2025-03.

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We propose algorithms for conducting Bayesian inference in structural vector autoregressions identified using sign restrictions. The key feature of our approach is a sampling step based on 'soft' sign restrictions. This step draws from a target density that smoothly penalises parameter values violating the restrictions, facilitating the use of computationally efficient Markov chain Monte Carlo sampling algorithms. An importance-sampling step yields draws from the desired distribution conditional on the 'hard' sign restrictions. Relative to standard accept-reject sampling, the method substantia

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Hamlin, Alexandra, Erik Kobylarz, James Lever, Susan Taylor, and Laura Ray. Assessing the feasibility of detecting epileptic seizures using non-cerebral sensor. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42562.

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This paper investigates the feasibility of using non-cerebral, time-series data to detect epileptic seizures. Data were recorded from fifteen patients (7 male, 5 female, 3 not noted, mean age 36.17 yrs), five of whom had a total of seven seizures. Patients were monitored in an inpatient setting using standard video electroencephalography (vEEG), while also wearing sensors monitoring electrocardiography, electrodermal activity, electromyography, accelerometry, and audio signals (vocalizations). A systematic and detailed study was conducted to identify the sensors and the features derived from t

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Asari, Vijayan, Paheding Sidike, Binu Nair, Saibabu Arigela, Varun Santhaseelan, and Chen Cui. PR-433-133700-R01 Pipeline Right-of-Way Automated Threat Detection by Advanced Image Analysis. Pipeline Research Council International, Inc. (PRCI), 2015. http://dx.doi.org/10.55274/r0010891.

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A novel algorithmic framework for the robust detection and classification of machinery threats and other potentially harmful objects intruding onto a pipeline right-of-way (ROW) is designed from three perspectives: visibility improvement, context-based segmentation, and object recognition/classification. In the first part of the framework, an adaptive image enhancement algorithm is utilized to improve the visibility of aerial imagery to aid in threat detection. In this technique, a nonlinear transfer function is developed to enhance the processing of aerial imagery with extremely non-uniform l

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