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Journal articles on the topic 'Object representation model (ORM)'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Rachuri, Sudarsan, Young-Hyun Han, Sebti Foufou, et al. "A Model for Capturing Product Assembly Information." Journal of Computing and Information Science in Engineering 6, no. 1 (2005): 11–21. http://dx.doi.org/10.1115/1.2164451.

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The important issue of mechanical assemblies has been a subject of intense research over the past several years. Most electromechanical products are assemblies of several components, for various technical as well as economic reasons. This paper provides an object-oriented definition of an assembly model called the Open Assembly Model (OAM) and defines an extension to the NIST Core Product Model (NIST-CPM). The assembly model represents the function, form, and behavior of the assembly and defines both a system level conceptual model and associated hierarchical relationships. The model provides

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Djuric, Dragan. "MDA-based ontology infrastructure." Computer Science and Information Systems 1, no. 1 (2004): 91–116. http://dx.doi.org/10.2298/csis0401091d.

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The paper presents Ontology Definition Metamodel (ODM) and Ontology UML Profile that enables using Model Driven Architecture (MDA) standards in ontological engineering. Other similar metamodels are based on ontology representation languages, such as RDF(S), DAML+OIL, etc. However, none of these other solutions uses the recent W3C effort-The Web Ontology Language (OWL). In our approach, we firstly define the ODM and Ontology UML Profile place in the context of the MDA four-layer architecture and identify the main OWL concepts. Then, we define ODM using Meta-Object Facility (MOF). The relations

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Medvedev, Danny, Uri Shani, and Dov Dori. "Gaining Insights into Conceptual Models: A Graph-Theoretic Querying Approach." Applied Sciences 11, no. 2 (2021): 765. http://dx.doi.org/10.3390/app11020765.

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Modern complex systems include products and services that comprise many interconnected pieces of integrated hardware and software, which are expected to serve humans interacting with them. As technology advances, expectations of a smooth, flawless system operation grow. Model-based systems engineering, an approach based on conceptual models, copes with this challenge. Models help construct formal system representations, visualize them, understand the design, simulate the system, and discover design flaws early on. Modeling tools can benefit tremendously from querying capabilities that enable g

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NAFIGIN, I. O., S. A. USTINOV, and V. A. PETROV. "THREE-DIMENSIONAL GIS MODELING OF THE STRELTSOVSKAYA CALDERA’S COVER ON THE BASIS OF SURFACE RELIEF AND THE BASEMENT’S TOP DIGITAL MODELS." Proceedings of higher educational establishments. Geology and Exploration, no. 4 (August 16, 2018): 61–67. http://dx.doi.org/10.32454/0016-7762-2018-4-61-67.

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Based on the consideration and analysis of different approaches to obtaining data for constructing a digital elevation model and types of three-dimensional surface representation, the choice of the most optimum technique for construction and visualization of three- dimensional model of the volcano-sedimentary cover of the Streltsovskaya caldera in Eastern Transbaikalia has been substantiated. The creation of such model determines the need for detection, identification and monitoring of processes, phenomena and factors of natural and anthropogenic origin at uranium deposits of the same named or

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Halpin, Terry. "Object-Role Modeling." International Journal of Information System Modeling and Design 1, no. 1 (2010): 33–57. http://dx.doi.org/10.4018/jismd.2010092302.

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Object-Role Modeling (ORM) is an approach for modeling and querying information at the conceptual level, and for transforming ORM models and queries to or from other representations. Unlike attribute-based approaches such as Entity-Relationship (ER) modeling and class modeling within the Unified Modeling Language (UML), ORM is fact-oriented, where all facts and rules are modeled in terms of natural sentences easily understood and validated by nontechnical business users. ORM’s modeling procedure facilitates validation by verbalization and population with concrete examples. ORM’s graphical nota

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Sun, Caige, Hao Chen, and Fenglei Fan. "Improving Accuracy of Impervious Surface Extraction Based on a Threshold Hierarchical Method (THM)." Applied Sciences 10, no. 23 (2020): 8409. http://dx.doi.org/10.3390/app10238409.

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Impervious surface area (ISA) is an important representation of urban area. It is very popular to extract ISA by using linear spectral mixture analysis (LSMA). However, there are still some defects in this method: underestimated in areas with a large amount of ISA. Hence, we designed a threshold hierarchical method (THM) to test this underestimation and understand which scale is the best to mixture. The capacity of the THM and the optimal threshold in the impervious surface extraction are the focus in this work. In THM model, the medium-resolution image (Landsat 8 OLI) and the high-resolution

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Chaudhuri, Sid. "The problem of a hydrogen atom in a cavity: Oscillator representation solution versus analytic solution." Open Physics 19, no. 1 (2021): 61–68. http://dx.doi.org/10.1515/phys-2021-0201.

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Abstract A solution to the problem of a hydrogenic atom in a homogeneous dielectric medium with a concentric spherical cavity using the oscillator representation method (ORM) is presented. The results obtained by the ORM are compared with a known exact analytic solution. The energy levels of the hydrogenic atom in a spherical cavity exhibit a shallow-deep instability as a function of the cavity radius. The sharpness of the transition depends on the value of the dielectric constant of the medium. The results of the ORM agree well with the results obtained by the analytic solution when the shall

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TULINAYO, FIONA P., PATRICK VAN BOMMEL, and H. A. (ERIK) PROPER. "ENHANCING THE SYSTEM DYNAMICS MODELING PROCESS WITH A DOMAIN MODELING METHOD." International Journal of Cooperative Information Systems 22, no. 02 (2013): 1350011. http://dx.doi.org/10.1142/s0218843013500111.

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Defining complex system dynamics (SD) models in complex organizational settings is hard. This is so because the numbers of variables to consider are many and the question of causation is complicated to untangle. Second, SD models are ambiguous and hard to conceptualize. In this paper, we explore the use of a domain modeling method object-role modeling (ORM) in the process of developing SD models. We do so, because domain modeling methods help to identify relationships among entities within the scope of the problem domain and provide a structural view of the domain. The addition of a domain mod

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Budiman, Edy, and Novianti Puspitasari. "Model View Controller dan Object Relational Mapping Data Borneo Biodiversity Information System." Jurnal Rekayasa Teknologi Informasi (JURTI) 2, no. 2 (2018): 153. http://dx.doi.org/10.30872/jurti.v2i2.1869.

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Pergeseran paradigma pengembangan Perangkat Lunak yang berskala enterprise. Permasalahan antara lingkungan Berorientasi Objek (OOP) dengan lingkungan RDBMS (Relational Database Management System) yang sering disebut dengan istilah impedance mismatch (Ketidak-sesuaian pendekatan OOP dan RDBMS). Penelitian ini bertujuan menerapkan konsep Object Relational Mapping (ORM) yang berfungsi menjembatani ketidaksesuaian dan memetakkan database relasional ke model objek, melakukan pengumpulan data tumbuhan (Pohon, Kayu, Tanaman Obat dan Bambu). Metode pengembangan menggunakan konsep design pattern Model-

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Lacey, Simon, Noa Tal, Amir Amedi, and K. Sathian. "A Putative Model of Multisensory Object Representation." Brain Topography 21, no. 3-4 (2009): 269–74. http://dx.doi.org/10.1007/s10548-009-0087-4.

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11

Ishimaru, Tomoyuki, and Shunsuki Uemura. "An object-oriented data model for multiple representation of object semantics." Systems and Computers in Japan 27, no. 9 (1996): 23–32. http://dx.doi.org/10.1002/scj.4690270903.

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Mordecai, Yaniv, James P. Fairbanks, and Edward F. Crawley. "Category-Theoretic Formulation of the Model-Based Systems Architecting Cognitive-Computational Cycle." Applied Sciences 11, no. 4 (2021): 1945. http://dx.doi.org/10.3390/app11041945.

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We introduce the Concept→Model→Graph→View Cycle (CMGVC). The CMGVC facilitates coherent architecture analysis, reasoning, insight, and decision making based on conceptual models that are transformed into a generic, robust graph data structure (GDS). The GDS is then transformed into multiple views of the model, which inform stakeholders in various ways. This GDS-based approach decouples the view from the model and constitutes a powerful enhancement of model-based systems engineering (MBSE). The CMGVC applies the rigorous foundations of Category Theory, a mathematical framework of representation

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13

Zha, Xuan F., Sebti Foufou, Rachuri Sudarsan, and Ram D. Sriram. "Analysis and Evaluation for STEP-Based Electromechanical Assemblies." Journal of Computing and Information Science in Engineering 6, no. 3 (2005): 276–87. http://dx.doi.org/10.1115/1.2218368.

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In this paper, we propose an integrated approach to analysis and evaluation for STEP-based (STandard for the Exchange of Product model data, officially ISO 10303) electromechanical assemblies. First, two assembly representational models are brought up and elaborated: the EXPRESS/XML schema-based model and the NIST object-oriented UML-based open assembly model (OAM). Then, these two models are integrated, in which the OAM incorporates the EXPRESS/XML schema-based assembly model to completely capture the detailed geometric information. The proposed assembly evaluation approach uses the EXPRESS/X

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14

Murai, Yasuyuki, Suguru Asaoka, Hiroyuki Tsuji, Hisayuki Tatsumi, and Shinji Tokumasu. "Distance Field Model Concept for Space Representation." Journal of Advanced Computational Intelligence and Intelligent Informatics 11, no. 10 (2007): 1241–49. http://dx.doi.org/10.20965/jaciii.2007.p1241.

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The distance field model (DFM), a new approach to space reasoning, i.e., the recognition and understanding of space, is realized by introducing the concept that a spatial object placed in a space generates a “distance field” represented by a function that maps arbitrary point P in space into a real number: the distance from P to this object. Analyzing the distance field, it is easy to judge, for example, what the surroundings are or how close obstacles are. To enable readers to understand the DFM concept, we introduce an object-oriented scheme to represent functions, and, by constructing a sim

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15

De Floriani, Leila, and Bianca Falcidieno. "A hierarchical boundary model for solid object representation." ACM Transactions on Graphics 7, no. 1 (1988): 42–60. http://dx.doi.org/10.1145/42188.46164.

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Xie, Chengjun, Jieqing Tan, Peng Chen, Jie Zhang, and Lei He. "Collaborative object tracking model with local sparse representation." Journal of Visual Communication and Image Representation 25, no. 2 (2014): 423–34. http://dx.doi.org/10.1016/j.jvcir.2013.12.012.

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17

Shih, Frank Y. "Object representation and recognition using mathematical morphology model." Journal of Systems Integration 1, no. 2 (1991): 235–56. http://dx.doi.org/10.1007/bf02426925.

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18

KIM, SUNGHO, GIJEONG JANG, WANG-HEON LEE, and IN SO KWEON. "COMBINED MODEL-BASED 3D OBJECT RECOGNITION." International Journal of Pattern Recognition and Artificial Intelligence 19, no. 07 (2005): 839–52. http://dx.doi.org/10.1142/s0218001405004368.

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This paper presents a combined model-based 3D object recognition method motivated by the robust properties of human vision. The human visual system (HVS) is very efficient and robust in identifying and grabbing objects, in part because of its properties of visual attention, contrast mechanism, feature binding, multiresolution and part-based representation. In addition, the HVS combines bottom-up and top-down information effectively using combined model representation. We propose a method for integrating these aspects under a Monte Carlo method. In this scheme, object recognition is regarded as

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19

Zhu, H., and H. Wu. "Description and representation model of spatial object incremental update." Journal of Spatial Science 59, no. 1 (2014): 47–61. http://dx.doi.org/10.1080/14498596.2013.863166.

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20

Ganji, Sandeep Kumar, Indu Potula, Venkata Naga Pradeep Ambati, Bhujanga Rao, Sandhya Kumari Ganji, and Shwetha Kumari Ganji. "Image representation, scaling and cognitive model of object perception." Cognitive Processing 7, S1 (2006): 37–39. http://dx.doi.org/10.1007/s10339-006-0056-8.

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21

Yendrikhovskij, S. N., F. J. J. Blommaert, and H. de Ridder. "Memory Representation of Object Colours." Perception 25, no. 1_suppl (1996): 185. http://dx.doi.org/10.1068/v96l1008.

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Memory colours, ie colours recalled in association with familiar objects, impose a powerful constraint on colour appraisal of images of natural scenes. The purpose of this study is to specify the memory representation of one particular object colour. To this end, the colour of a banana was manipulated by varying hue-angle and saturation in the CIELUV colour space. Subjects' task was to rate the similarity in colour of the resulting banana samples displayed on the screen to the typical ripe banana stored in their mind. In order to examine the dependence of memory colour on texture information a

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22

Nan, Zhixiong, Yang Liu, Nanning Zheng, and Song-Chun Zhu. "Recognizing Unseen Attribute-Object Pair with Generative Model." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 8811–18. http://dx.doi.org/10.1609/aaai.v33i01.33018811.

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In this paper, we are studying the problem of recognizing attribute-object pairs that do not appear in the training dataset, which is called unseen attribute-object pair recognition. Existing methods mainly learn a discriminative classifier or compose multiple classifiers to tackle this problem, which exhibit poor performance for unseen pairs. The key reasons for this failure are 1) they have not learned an intrinsic attributeobject representation, and 2) the attribute and object are processed either separately or equally so that the inner relation between the attribute and object has not been

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23

Xu, Zhi Wei, Zhong Qi Sheng, and Hua Long Xie. "Product Configuration Knowledge Modeling Using Extend Object Model." Applied Mechanics and Materials 16-19 (October 2009): 394–98. http://dx.doi.org/10.4028/www.scientific.net/amm.16-19.394.

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This paper presents an extended object model for case-based reasoning in product configuration design. In the extended object model a few of methods of knowledge expression are adopted such as constraints, rules, objects etc. On the basis of extended object model, case representation model for case-based reasoning is applied to product configuration design system. The product configuration knowledge can be represented by the extended object. The model can support all the processes of case-based reasoning in product configuration design such as case representation, indexing, retrieving and case

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Shaked, Avi, and Yoram Reich. "Using Domain-Specific Models to Facilitate Model-Based Systems-Engineering: Development Process Design Modeling with OPM and PROVE." Applied Sciences 11, no. 4 (2021): 1532. http://dx.doi.org/10.3390/app11041532.

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Model-based Systems Engineering (MBSE) approaches are a step forward in the evolution of computer-aided engineering, and yet, they often incorporate deficiencies that may jeopardize their practical utility and usability, as well as the validity of the resulting models. We demonstrate how a domain-specific modeling approach can relieve some hurdles in adopting MBSE, and how it can be used in tandem with a general-purpose modeling approach to augment and introduce rigor to models. Specifically, we demonstrate the consequences of theoretical issues that were previously identified in Object Proces

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25

Endo, Yasunori, Ayako Heki, and Yukihiro Hamasuna. "Non Metric Model Based on Rough Set Representation." Journal of Advanced Computational Intelligence and Intelligent Informatics 17, no. 4 (2013): 540–51. http://dx.doi.org/10.20965/jaciii.2013.p0540.

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The non metricmodel is a kind of clustering method in which belongingness or the membership grade of each object in each cluster is calculated directly from dissimilarities between objects and in which cluster centers are not used. The clustering field has recently begun to focus on rough set representation instead of fuzzy set representation. Conventional clustering algorithms classify a set of objects into clusters with clear boundaries, that is, one object must belong to one cluster. Many objects in the real world, however, belong to more than one cluster because cluster boundaries overlap

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Voronin, V. V. "DEGRADATION REPRESENTATION OF THE DIAGNOSTIC OBJECT IN A CONCEPTUAL MODEL." Informatika i sistemy upravleniya, no. 60 (2019): 77–86. http://dx.doi.org/10.22250/isu.2019.60.77-86.

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Bo, Chunjuan, Junxing Zhang, Junjie Liu, and Qiang Yao. "Robust online object tracking via the convex hull representation model." Neurocomputing 289 (May 2018): 44–54. http://dx.doi.org/10.1016/j.neucom.2018.02.013.

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28

Marefat, M., and J. Britanik. "Case-based process planning using an object-oriented model representation." Robotics and Computer-Integrated Manufacturing 13, no. 3 (1997): 229–51. http://dx.doi.org/10.1016/s0736-5845(97)00005-7.

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29

Ayzenberg, Vladislav, Sami Yousif, and Stella Lourenco. "The medial axis as a robust model of object representation." Journal of Vision 16, no. 12 (2016): 169. http://dx.doi.org/10.1167/16.12.169.

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30

Sormaz, D. N., and B. Khoshnevis. "Process planning knowledge representation using an object-oriented data model." International Journal of Computer Integrated Manufacturing 10, no. 1-4 (1997): 92–104. http://dx.doi.org/10.1080/095119297131219.

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31

Gu, Yu Ming, Jie Liu, Kuo Liu, and Zhao Yao. "An Improved Representation for Object Tracking Algorithm." Applied Mechanics and Materials 16-19 (October 2009): 1020–24. http://dx.doi.org/10.4028/www.scientific.net/amm.16-19.1020.

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Aiming at the shortcoming of feature space representation in traditional mean shift, we propose an improved object tracking method. At first, the target model region is segmented into overlapped square, and their histograms are computed. Then, the feature space is constituted which has introduced spatial information into. So the accuracy is enhanced. After computing the feature space of target candidate region, the mean shift is employed to find the new target location. The result shows that the improved method can track the object more robust, accurately and quickly.

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32

Sabes, Philip N., Boris Breznen, and Richard A. Andersen. "Parietal Representation of Object-Based Saccades." Journal of Neurophysiology 88, no. 4 (2002): 1815–29. http://dx.doi.org/10.1152/jn.2002.88.4.1815.

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When monkeys make saccadic eye movements to simple visual targets, neurons in the lateral intraparietal area (LIP) display a retinotopic, or eye-centered, coding of the target location. However natural saccadic eye movements are often directed at objects or parts of objects in the visual scene. In this paper we investigate whether LIP represents saccadic eye movements differently when the target is specified as part of a visually displayed object. Monkeys were trained to perform an object-based saccade task that required them to make saccades to previously cued parts of an abstract object afte

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33

WANG, P. S. P. "THREE DIMENSIONAL OBJECT PATTERN REPRESENTATION BY ARRAY GRAMMARS." International Journal of Pattern Recognition and Artificial Intelligence 06, no. 02n03 (1992): 227–40. http://dx.doi.org/10.1142/s0218001492000138.

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A formal model for three-dimensional object representation is introduced. It uses parallel techniques and significantly reduces the time required for dealing with three-dimensional image analysis problems. Its fundamental properties are investigated and several interesting examples are illustrated.

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Voronin, V. V. "EXTERNAL REPRESENTATION OF THE OBJECT OF DIAGNOSTICS IN A CONCEPTUAL MODEL." Informatika i sistemy upravleniya, no. 1 (2020): 74–83. http://dx.doi.org/10.22250/isu.2020.63.74-83.

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35

Jeong, Sungmoon, and Minho Lee. "Adaptive object recognition model using incremental feature representation and hierarchical classification." Neural Networks 25 (January 2012): 130–40. http://dx.doi.org/10.1016/j.neunet.2011.06.020.

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36

Xiao, Fei, Jin-Wen Tian, Guang-Wei Wang, and Chang-Qing Chen. "Using Non-symmetry and Anti-packing Representation Model for Object Detection." ITM Web of Conferences 12 (2017): 04020. http://dx.doi.org/10.1051/itmconf/20171204020.

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Sharma, G. K., and B. Gurumoorthy. "Iso-material contour representation for process planning of heterogeneous object model." Journal of Computational Design and Engineering 7, no. 4 (2020): 498–513. http://dx.doi.org/10.1093/jcde/qwz001.

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Abstract Additive manufacturing is emerging as the preferred process for making heterogeneous objects. Planning the deposition of material is more complex for heterogeneous objects as the material variation has to be tracked along the path. This paper proposes an iso-material contour representation to generate the process plan for additive manufacturing given a smooth representation of heterogeneous object model. These contours represent the iso-material paths for deposition. As these paths shift along the direction of the gradation of material distribution, the deposition respects the gradien

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Shimomura, Y., M. Yoshioka, H. Takeda, Y. Umeda, and T. Tomiyama. "Representation of Design Object Based on the Functional Evolution Process Model." Journal of Mechanical Design 120, no. 2 (1998): 221–29. http://dx.doi.org/10.1115/1.2826962.

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One of the crucial issues for developing computer aided conceptual design system is representation of functions which represent designers’ intention. Representing functions is also crucial not only for representing design objects but also for describing conceptual design processes, in which designers operate mainly functional concepts. Namely, function is a key concept to integrate object modeling and process modeling in design. In this paper, first we extend the FBS (Function-Behavior-State) diagram, which we have already proposed, by introducing three additional concepts for representing a f

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Chen, Xiao Ying, and Bin He. "Knowledge Representation Method of Product Principle Solution Based on Semantic Network Model." Applied Mechanics and Materials 34-35 (October 2010): 1865–69. http://dx.doi.org/10.4028/www.scientific.net/amm.34-35.1865.

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Product design is a problem-solving activity based on knowledge. This paper is devoted to presenting a systematic knowledge representation method of principle solution based on semantic network model. For the expression of product knowledge, the semantic object, constraints and their relationships among the expression of the semantic object network model are proposed step by step. Then the principle solution representation model based on semantic network model is put forwards. The knowledge representation of a car is given as an example, which demonstrates that this method is obviously helpful

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Tanner, Nancy S., and Donald L. Fisher. "A Visual Search Model for Selection of Graphic Symbols." Proceedings of the Human Factors Society Annual Meeting 32, no. 19 (1988): 1320–23. http://dx.doi.org/10.1177/154193128803201902.

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Ideally one would like to select symbols for visual displays which can quickly be identified. This paper presents a model which can help select the representation of an object which will speed search the most (i.e., the optimal representation) when there are several equally meaningful representations available.

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Dicheva-Kirilova, Natasha, and Jaklina Jivkova-Todorova. "A constructive model of orthogonal axonometry." Facta universitatis - series: Architecture and Civil Engineering 2, no. 5 (2003): 405–12. http://dx.doi.org/10.2298/fuace0305405d.

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A new method for object representation in arbitrary orthogonal axonometry is suggested. Constructions for a point drawing are shown, using two rotations - a rotation of the coordinate plane Oxy to the profile plane and a rotation of the profile plane to the projection plane. Using these simple constructions, an object can be projected on arbitrary plane. Plane figures (circles and polygons) can be pictured, too.

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Schwan, Stephan, Daniela Bauer, Lorenz Kampschulte, and Constanze Hampp. "Representation Equals Presentation?" Journal of Media Psychology 29, no. 4 (2017): 176–87. http://dx.doi.org/10.1027/1864-1105/a000166.

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Abstract. In two experiments, the notion was tested that real objects receive more attention and are better remembered than respective photographs of objects. Both objects and photographs were presented behind glass in display showcases in a museum and, hence, were largely equivalent in terms of providing visual information. The results of Experiment 1 indicated that participants pay more attention to real objects than to respective photographs. In addition, Experiment 2 indicated that participants retrieve more memory details about an object if they have seen it as a real object in comparison

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Moldakarimov, Samat, Maxim Bazhenov, and Terrence J. Sejnowski. "Representation Sharpening Can Explain Perceptual Priming." Neural Computation 22, no. 5 (2010): 1312–32. http://dx.doi.org/10.1162/neco.2009.04-09-999.

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Perceiving and identifying an object is improved by prior exposure to the object. This perceptual priming phenomenon is accompanied by reduced neural activity. But whether suppression of neuronal activity with priming is responsible for the improvement in perception is unclear. To address this problem, we developed a rate-based network model of visual processing. In the model, decreased neural activity following priming was due to stimulus-specific sharpening of representations taking place in the early visual areas. Representation sharpening led to decreased interference of representations in

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Kwon, Soo-Young. "Mental God-Representation Reconsidered: Probing Collective Representation of Cultural Symbol." Archive for the Psychology of Religion 25, no. 1 (2003): 113–28. http://dx.doi.org/10.1163/157361203x00084.

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The current methods in psychoanalytic studies of God images and representations have focused almost exclusively on individual, internal processes. This article examines how psychological anthropologists go about formulating symbolic representations of deity in their research, in comparison with the object relations method of God-representations. Drawing on Melford Spiro's integrative proposal for interpreting the mental and collective representations in religious symbol systems, this paper proposes that there is a need for a comprehensive model of the representational process in the Eastern wo

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Gorokhovatsky, Volodymyr, Nataliia Vlasenko, and Mykhailo Rybalka. "Application of data hashing tools to accelerate classification decisions in structural image recognition methods." Advanced Information Systems 5, no. 2 (2021): 13–20. http://dx.doi.org/10.20998/2522-9052.2021.2.02.

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The subject of this research is the image classification methods based on a set of key points descriptors. The goal is to increase the performance of classification methods, in particular, to improve the time characteristics of classification by introducing hashing tools for reference data representation. Methods used: ORB detector and descriptors, data hashing tools, search methods in data arrays, metrics-based apparatus for determining the relevance of vectors, software modeling. The obtained results: developed an effective method of image classification based on the introduction of high-spe

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Su, Hao, and Shan Liao. "Learning Object Groups for Scene Recognition." Advanced Materials Research 998-999 (July 2014): 1028–32. http://dx.doi.org/10.4028/www.scientific.net/amr.998-999.1028.

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Scene recognition is an important task for many computer vision and robotics applications. Recent progress in high-level object-based image representation has shown superior performance on scene classification tasks. In this work, we make an observation that groups of objects tend to co-occur frequently in a scene. We therefore propose to a novel framework that automatically learns object groups, and use them to build an image representation for scene recognition tasks. We model each object group as a template that explicitly encodes the spatial configurations of objects. To encourage the info

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Elder, James H. "Shape from Contour: Computation and Representation." Annual Review of Vision Science 4, no. 1 (2018): 423–50. http://dx.doi.org/10.1146/annurev-vision-091517-034110.

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The human visual system reliably extracts shape information from complex natural scenes in spite of noise and fragmentation caused by clutter and occlusions. A fast, feedforward sweep through ventral stream involving mechanisms tuned for orientation, curvature, and local Gestalt principles produces partial shape representations sufficient for simpler discriminative tasks. More complete shape representations may involve recurrent processes that integrate local and global cues. While feedforward discriminative deep neural network models currently produce the best predictions of object selectivit

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SOURROUILLE, JEAN LOUIS. "A KNOWLEDGE-BASED FRAMEWORK OF OBJECT-ORIENTED SOFTWARE DEVELOPMENT ENVIRONMENTS." International Journal of Software Engineering and Knowledge Engineering 04, no. 04 (1994): 451–79. http://dx.doi.org/10.1142/s0218194094000222.

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Software development can be seen as a formalization process which, from informal data (problem), leads to a fully formal representation (solution) by successive enrichments and transformations. This paper presents a representation formalism (KLSDE: Knowledge-based representation Language for Software Development Environments) which supports the iterative and evolutionary features of this process. From syntactic and semantic rules described in the domain model and the software process model, the representation is gradually bound by stronger and stronger constraints, according to the degree of f

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ZHANG, Fu, Li YAN, Zong-Min MA, and Jing-Wei CHENG. "Representation and Reasoning of Fuzzy Object-Oriented Data Model with Description Logic." Journal of Software 23, no. 3 (2012): 594–612. http://dx.doi.org/10.3724/sp.j.1001.2012.04037.

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Cutzu, Florin, and Shimon Edelman. "Representation of object similarity in human vision: psychophysics and a computational model." Vision Research 38, no. 15-16 (1998): 2229–57. http://dx.doi.org/10.1016/s0042-6989(97)00186-7.

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