Conecte-se

Bibliografias temáticas / Object-Based model / Artigos de revistas

Artigos de revistas sobre o tema "Object-Based model"

Siga este link para ver outros tipos de publicações sobre o tema: Object-Based model.

Autor: Grafiati

Publicado: 25 de maio de 2024

Crie uma referência precisa em APA, MLA, Chicago, Harvard, e outros estilos

Selecione um tipo de fonte:

Veja os 50 melhores artigos de revistas para estudos sobre o assunto "Object-Based model".

Ao lado de cada fonte na lista de referências, há um botão "Adicionar à bibliografia". Clique e geraremos automaticamente a citação bibliográfica do trabalho escolhido no estilo de citação de que você precisa: APA, MLA, Harvard, Chicago, Vancouver, etc.

Você também pode baixar o texto completo da publicação científica em formato .pdf e ler o resumo do trabalho online se estiver presente nos metadados.

Veja os artigos de revistas das mais diversas áreas científicas e compile uma bibliografia correta.

1

Biegelbauer, Georg, Markus Vincze e Walter Wohlkinger. "Model-based 3D object detection". Machine Vision and Applications 21, n.º 4 (2 de dezembro de 2008): 497–516. http://dx.doi.org/10.1007/s00138-008-0178-3.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

2

Arumugam, Chamundeswari, e Chitra Babu. "Test Size Estimation for Object Oriented Software Based on Analysis Model". Journal of Software 10, n.º 6 (junho de 2015): 713–29. http://dx.doi.org/10.17706//jsw.10.6.713-729.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

3

Qi Chen, Qi Chen, Xinyi Gao Qi Chen, Renjie Li Xinyi Gao e Yong Zhang Renjie Li. "Optimized Object Detection Based on The Improved Lightweight Model Mini Net". 網際網路技術學刊 25, n.º 2 (março de 2024): 223–32. http://dx.doi.org/10.53106/160792642024032502005.

Texto completo da fonte

Resumo:

<p>This paper proposes a Mini Net lightweight model that can be used for real-time detection. This model works together with Mini Lower and Mini Higher, which greatly improves the detection efficiency while ensuring the accuracy. The Mini module designs both the batch normalization layer and the excitation function at the front end of the module, which realizes efficient convolution, greatly reduces the amount of parameters and computation, and introduces the nonlinearity brought by more layers in the spatial dimension, which can improve the performance of the module extraction capacity. Based on the Mini convolution module, a multi-stage training strategy is proposed. The first stage makes the system fast and stable. In order to improve the overfitting phenomenon of the system, the second and third stages use finer features to improve the detection of small targets, thereby improving the Model training efficiency and detection accuracy.</p> <p> </p>

Estilos ABNT, Harvard, Vancouver, APA, etc.

4

Bae, Je-Min. "Analogy-based Reuse of Object Model". KIPS Transactions:PartD 14D, n.º 6 (31 de outubro de 2007): 665–74. http://dx.doi.org/10.3745/kipstd.2007.14-d.6.665.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

5

KIM, SUNGHO, GIJEONG JANG, WANG-HEON LEE e IN SO KWEON. "COMBINED MODEL-BASED 3D OBJECT RECOGNITION". International Journal of Pattern Recognition and Artificial Intelligence 19, n.º 07 (novembro de 2005): 839–52. http://dx.doi.org/10.1142/s0218001405004368.

Texto completo da fonte

Resumo:

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 a parameter optimization problem. The bottom-up process initializes parameters, and the top-down process optimizes them. Experimental results show that the proposed recognition model is feasible for 3D object identification and pose estimation.

Estilos ABNT, Harvard, Vancouver, APA, etc.

6

Lamdan, Y., J. T. Schwartz e H. J. Wolfson. "Affine invariant model-based object recognition". IEEE Transactions on Robotics and Automation 6, n.º 5 (1990): 578–89. http://dx.doi.org/10.1109/70.62047.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

7

Jang, Dae-Sik, Gye-Young Kim e Hyung-Il Choi. "Model-based tracking of moving object". Pattern Recognition 30, n.º 6 (junho de 1997): 999–1008. http://dx.doi.org/10.1016/s0031-3203(96)00128-8.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

8

UENO, Haruki, e Yasumasa OOMORI. "Expert Systems Based on Object Model". Geoinformatics 2, n.º 2 (1991): 97–108. http://dx.doi.org/10.6010/geoinformatics1990.2.2_97.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

9

Jalila, A., e D. Jeya Mala. "Object-oriented model-based specification languages". ACM SIGSOFT Software Engineering Notes 39, n.º 5 (17 de setembro de 2014): 1–4. http://dx.doi.org/10.1145/2659118.2659132.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

10

Nixon, D., e R. Lobb. "A fluid-based soft-object model". IEEE Computer Graphics and Applications 22, n.º 4 (julho de 2002): 68–75. http://dx.doi.org/10.1109/mcg.2002.1016700.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

11

Korn, Matthew R., e Charles R. Dyer. "3-D multiview object representations for model-based object recognition". Pattern Recognition 20, n.º 1 (janeiro de 1987): 91–103. http://dx.doi.org/10.1016/0031-3203(87)90020-3.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

12

Corcoran, Padraig. "Topology Based Object Tracking". Mathematical and Computational Applications 24, n.º 3 (18 de setembro de 2019): 84. http://dx.doi.org/10.3390/mca24030084.

Texto completo da fonte

Resumo:

A model for tracking objects whose topological properties change over time is proposed. Such changes include the splitting of an object into multiple objects or the merging of multiple objects into a single object. The proposed model employs a novel formulation of the tracking problem in terms of homology theory whereby 0-dimensional homology classes, which correspond to connected components, are tracked. A generalisation of this model for tracking spatially close objects lying in an ambient metric space is also proposed. This generalisation is particularly suitable for tracking spatial-temporal phenomena such as rain clouds. The utility of the proposed model is demonstrated with respect to tracking communities in a social network and tracking rain clouds in radar imagery.

Estilos ABNT, Harvard, Vancouver, APA, etc.

13

Board, Oliver, e Kim-Sau Chung. "Object-based unawareness: Axioms". Journal of Mechanism and Institution Design 6, n.º 1 (7 de dezembro de 2021): 1–36. http://dx.doi.org/10.22574/jmid.2021.12.001.

Texto completo da fonte

Resumo:

This paper provides foundations for a model of unawareness, called object-based unawareness (OBU) structures, that can be used to distinguish between what an agent is unaware of and what she simply does not know. At an informal level, this distinction plays a key role in a number of papers such as Tirole (2009) and Chung & Fortnow (2016). In this paper, we give the model-theoretic description of OBU structures by showing how they assign truth conditions to every sentence of the formal language used. We then prove a model-theoretic sound and completeness theorem, which characterizes OBU structures in terms of a system of axioms. We then verify that agents in OBU structures do not violate any of the introspection axioms that are generally considered to be necessary conditions for a plausible notion of unawareness. Applications are provided in our companion paper.

Estilos ABNT, Harvard, Vancouver, APA, etc.

14

Wang, Yanlong, e Jinhua Liu. "Object-oriented Design based Comprehensive Experimental Development of Document Object Model". Advances in Engineering Technology Research 3, n.º 1 (7 de dezembro de 2022): 390. http://dx.doi.org/10.56028/aetr.3.1.390.

Texto completo da fonte

Resumo:

JavaScript code using Document Object Model (DOM) can realize the dynamic control of Web pages, which is the important content of the Web development technology course. The application of DOM is very flexible and includes many knowledge points, so it is difficult for students to master. In order to help students to understand each knowledge point and improve their engineering ability to solve practical problems, a DOM comprehensive experiment project similar to blind box is designed and implemented. This experimental project integrates knowledge points such as DOM events, DOM operations, and communication between objects. Practice has proved that running and debugging of the project can help students to understand and master relevant knowledge points.

Estilos ABNT, Harvard, Vancouver, APA, etc.

15

Jin, Qing Kai, Jun Yi Li e Yan Zhang. "Object-Oriented Program Tailoring Based on Model". Applied Mechanics and Materials 608-609 (outubro de 2014): 23–30. http://dx.doi.org/10.4028/www.scientific.net/amm.608-609.23.

Texto completo da fonte

Resumo:

For the redundant codes caused by software reuse and rapid development in object-oriented program, the paper proposes a cutting model and designs a cutting scheme based on this model. Firstly, a cutting model is established. Then, static analysis is made for object-oriented codes and the cutting information base of objects to be clipped is established. Lastly, the cutting information base and cutting model is matched to cut the program. A test on a practical java project indicates that the cutting scheme can make the volume of the project reduce by about 21%.

Estilos ABNT, Harvard, Vancouver, APA, etc.

16

Yahya, Abdelfatah Aref, e Rana Mohamad Idrees Bader. "Distributed Shared Memory Consistency Object-based Model". Journal of Computer Science 3, n.º 1 (1 de janeiro de 2007): 57–61. http://dx.doi.org/10.3844/jcssp.2007.57.61.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

17

WANG, Lin, Jianfu CAO e Chongzhao HAN. "Superquadrics Model-based 3D Object Localization Algorithm". Robot 35, n.º 4 (2013): 439. http://dx.doi.org/10.3724/sp.j.1218.2013.00439.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

18

Russell, Alexander F., Stefan Mihalaş, Rudiger von der Heydt, Ernst Niebur e Ralph Etienne-Cummings. "A model of proto-object based saliency". Vision Research 94 (janeiro de 2014): 1–15. http://dx.doi.org/10.1016/j.visres.2013.10.005.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

19

Baoxin Li, R. Chellappa, Qinfen Zheng e S. Z. Der. "Model-based temporal object verification using video". IEEE Transactions on Image Processing 10, n.º 6 (junho de 2001): 897–908. http://dx.doi.org/10.1109/83.923286.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

20

Basila, M. R., A. Cinar e G. Stefanek. "Mobecs: Model-Object Based Expert Control Systems". IFAC Proceedings Volumes 22, n.º 8 (agosto de 1989): 163–68. http://dx.doi.org/10.1016/s1474-6670(17)53352-2.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

21

Mao, Bing, e Li Xie. "An object-based model for cooperative computing". Science in China Series E: Technological Sciences 41, n.º 1 (fevereiro de 1998): 22–30. http://dx.doi.org/10.1007/bf02916868.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

22

Ri, Changyong, Duho Pak, Cholryong Choe, Suhyang Kim e Yonghak Sin. "Contextual object categorisation with energy-based model". Journal of Engineering 2017, n.º 10 (1 de outubro de 2017): 566–73. http://dx.doi.org/10.1049/joe.2017.0319.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

23

Wen, Chenglin, Guangfu Zhou, Jingli Gao, Hongwei Li e Xiaobin Xu. "Object Recognition Based on Improved Context Model". Chinese Journal of Electronics 27, n.º 3 (1 de maio de 2018): 573–81. http://dx.doi.org/10.1049/cje.2018.03.014.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

24

Nagasaka, Yasumi, Yasushi Mochiduki, Hideyuki Otaki, Yoshio Ishikawa e Keiichi Watanuki. "Building of Window based on Object-Model." Transactions of the Japan Society of Mechanical Engineers Series C 59, n.º 560 (1993): 1321–27. http://dx.doi.org/10.1299/kikaic.59.1321.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

25

Jianping Fan, Xingquan Zhu e Lide Wu. "Automatic model-based semantic object extraction algorithm". IEEE Transactions on Circuits and Systems for Video Technology 11, n.º 10 (2001): 1073–84. http://dx.doi.org/10.1109/76.954494.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

26

Mili, Hafedh, John Sibert e Yoav Intrator. "An object-oriented model based on relations". Journal of Systems and Software 12, n.º 2 (maio de 1990): 139–55. http://dx.doi.org/10.1016/0164-1212(90)90076-x.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

27

M, Raviraja Holla. "Synergy of Classical and Model-Based Object-Oriented (OO) Metrics in Reducing Test Costs". Bonfring International Journal of Software Engineering and Soft Computing 4, n.º 1 (9 de maio de 2014): 01–04. http://dx.doi.org/10.9756/bijsesc.4813.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

28

ANDO, Noriaki, Tetsuo KOTOKU, Olibier LEMAIRE, Kosei KITAGAKI e Takashi SUEHIRO. "1P1-C23 RT-Component Object Model based on SDD (Super Distributed Object)". Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2006 (2006): _1P1—C23_1—_1P1—C23_4. http://dx.doi.org/10.1299/jsmermd.2006._1p1-c23_1.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

29

Hardeep Kaur , Damanpreet Kaur, Hardeep Kaur ,. Damanpreet Kaur. "Dual-Compression Based Model Using the Active Object Detection Model". International Journal of Computer Science Engineering and Information Technology Research 7, n.º 4 (2017): 71–80. http://dx.doi.org/10.24247/ijcseitraug201710.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

30

Guan, Zeyu. "Real time object recognition based on YOLO model". Theoretical and Natural Science 28, n.º 1 (26 de dezembro de 2023): 137–43. http://dx.doi.org/10.54254/2753-8818/28/20230450.

Texto completo da fonte

Resumo:

With the rapid development of computer technology, the concept of computer vision has been proposed. Since then, many object recognition methods have been developed to lay the foundation for computer vision. Object recognition is vital in various computer vision applications, such as autonomous driving, surveillance systems, robotics, and other areas. The You Only Look Once (YOLO) model has gained significant attention due to its ability to achieve real-time object detection and localization in images and videos. This paper comprehensively reviews real-time object recognition based on the YOLO model. We discuss the YOLO architecture's underlying principles and advantages over traditional object detection methods. Then, according to the article by Joseph Redmon, the inventor of YOLO, the benefits of each version of the YOLO model and the performance optimization compared to the previous work are briefly introduced in the order of release. Furthermore, this paper explores its applications in different domains.

Estilos ABNT, Harvard, Vancouver, APA, etc.

31

Penurkar, Milind R., e Rekha S. Sugandhi. "OPDSM: A Combinatorial Object-Based and Page-Based DSM Model". International Journal of Computer Applications 1, n.º 6 (25 de fevereiro de 2010): 5–10. http://dx.doi.org/10.5120/150-271.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

32

Soodamani, R., e Z. Q. Liu. "GA-based learning for a model-based object recognition system". International Journal of Approximate Reasoning 23, n.º 2 (fevereiro de 2000): 85–109. http://dx.doi.org/10.1016/s0888-613x(99)00036-5.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

33

Biju, Soly Mathew. "Model-Based Software Testing for Object-Oriented Software". E-Learning and Digital Media 5, n.º 4 (janeiro de 2008): 485–91. http://dx.doi.org/10.2304/elea.2008.5.4.485.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

34

LIU Xiang, 刘翔, 杨鑫 YANG Xin e 王蕾 WANG Lei. "Object detection algorithm based on improved codebook model". Chinese Journal of Liquid Crystals and Displays 29, n.º 6 (2014): 997–1002. http://dx.doi.org/10.3788/yjyxs20142906.0997.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

35

RUAN, Zhiwei, Guijin WANG, Xinggang LIN, Jing-Hao XUE e Yong JIANG. "Deformable Part-Based Model Transfer for Object Detection". IEICE Transactions on Information and Systems E97.D, n.º 5 (2014): 1394–97. http://dx.doi.org/10.1587/transinf.e97.d.1394.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

36

Qiaorong Zhang Huiyu Ren. "A Computational Model for Object-based Visual Attention". Journal of Convergence Information Technology 6, n.º 8 (31 de agosto de 2011): 23–34. http://dx.doi.org/10.4156/jcit.vol6.issue8.3.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

37

TAJIMA, Fujio, Isao SHIMOYAMA e Hirofumi MIURA. "Trajectory reconstruction based on an operator-object model." Journal of the Robotics Society of Japan 6, n.º 5 (1988): 393–96. http://dx.doi.org/10.7210/jrsj.6.5_393.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

38

Froese, Thomas M., e Boyd C. Paulson. "OPIS: An Object Model-Based Project Information System". Computer-Aided Civil and Infrastructure Engineering 9, n.º 1 (janeiro de 1994): 13–28. http://dx.doi.org/10.1111/j.1467-8667.1994.tb00358.x.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

39

Myung Jin Choi, Antonio Torralba e Alan S. Willsky. "A Tree-Based Context Model for Object Recognition". IEEE Transactions on Pattern Analysis and Machine Intelligence 34, n.º 2 (fevereiro de 2012): 240–52. http://dx.doi.org/10.1109/tpami.2011.119.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

40

Kaiser, Gail E., e Brent Hailpern. "An object-based programming model for shared data". ACM Transactions on Programming Languages and Systems 14, n.º 2 (abril de 1992): 201–64. http://dx.doi.org/10.1145/128861.128866.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

41

Yuan Yuan, Sabu Emmanuel, Yuming Fang e Weisi Lin. "Visual Object Tracking Based on Backward Model Validation". IEEE Transactions on Circuits and Systems for Video Technology 24, n.º 11 (novembro de 2014): 1898–910. http://dx.doi.org/10.1109/tcsvt.2014.2319632.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

42

Kumar, K. S. Vipin, e Sheena Mathew. "Model Based Distributed Testing of Object Oriented Programs". Procedia Computer Science 46 (2015): 859–66. http://dx.doi.org/10.1016/j.procs.2015.02.155.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

43

Polat, Ediz, Mohammed Yeasin e Rajeev Sharma. "A 2D/3D model-based object tracking framework". Pattern Recognition 36, n.º 9 (setembro de 2003): 2127–41. http://dx.doi.org/10.1016/s0031-3203(03)00041-4.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

44

Ji, Zhangjian, e Weiqiang Wang. "Object tracking based on local dynamic sparse model". Journal of Visual Communication and Image Representation 28 (abril de 2015): 44–52. http://dx.doi.org/10.1016/j.jvcir.2015.01.008.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

45

Pang, Yu, Xiaosheng Yu, Ying Wang e Chengdong Wu. "Salient object detection based on novel graph model". Journal of Visual Communication and Image Representation 65 (dezembro de 2019): 102676. http://dx.doi.org/10.1016/j.jvcir.2019.102676.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

46

Tinnachote, C., e X. Chen. "An approach for object‐based positional error model". Journal of Spatial Science 50, n.º 1 (junho de 2005): 1–12. http://dx.doi.org/10.1080/14498596.2005.9635034.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

47

Chu, Wenqing, e Deng Cai. "Deep feature based contextual model for object detection". Neurocomputing 275 (janeiro de 2018): 1035–42. http://dx.doi.org/10.1016/j.neucom.2017.09.048.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

48

Riahi, Fatemeh, e Oliver Schulte. "Model-based exception mining for object-relational data". Data Mining and Knowledge Discovery 34, n.º 3 (19 de fevereiro de 2020): 681–722. http://dx.doi.org/10.1007/s10618-020-00677-w.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

49

Wei, Longsheng, Nong Sang e Yuehuan Wang. "A biologically inspired object-based visual attention model". Artificial Intelligence Review 34, n.º 2 (28 de maio de 2010): 109–19. http://dx.doi.org/10.1007/s10462-010-9162-1.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

50

Ketchantang, W., S. Derrode, L. Martin e S. Bourennane. "Pearson-based mixture model for color object tracking". Machine Vision and Applications 19, n.º 5-6 (23 de janeiro de 2008): 457–66. http://dx.doi.org/10.1007/s00138-008-0124-4.

Texto completo da fonte

Estilos ABNT, Harvard, Vancouver, APA, etc.

Oferecemos descontos em todos os planos premium para autores cujas obras estão incluídas em seleções literárias temáticas. Contate-nos para obter um código promocional único!