Добірка наукової літератури з теми "Visual model"

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Статті в журналах з теми "Visual model"

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Guinibert, Matthew. "Learn from your environment: A visual literacy learning model." Australasian Journal of Educational Technology 36, no. 4 (2020): 173–88. http://dx.doi.org/10.14742/ajet.5200.

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Based on the presupposition that visual literacy skills are not usually learned unaided by osmosis, but require targeted learning support, this article explores how everyday encounters with visuals can be leveraged as contingent learning opportunities. The author proposes that a learner’s environment can become a visual learning space if appropriate learning support is provided. This learning support may be delivered via the anytime and anywhere capabilities of mobile learning (m-learning), which facilitates peer learning in informal settings. The study propositioned a rhizomatic m-learning mo
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Kanodiya, Rishabh, Smriti Mittal, and Shikha Jain. "Image Visual Description Model." IEIE Transactions on Smart Processing & Computing 9, no. 2 (2020): 169–76. http://dx.doi.org/10.5573/ieiespc.2020.9.2.169.

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Orman, Levent. "A visual data model." Data & Knowledge Engineering 7, no. 3 (1992): 227–38. http://dx.doi.org/10.1016/0169-023x(92)90039-e.

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Maeref, Mabroka Ali Mayouf, Fatma Alghali, and Khadija Abied. "An Advance Visual Model for Animating Behavior of Cryptographic Protocols." Journal of Computers 10, no. 5 (2015): 336–46. http://dx.doi.org/10.17706/jcp.10.5.336-346.

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Li, Chenxi, and Nur Zaidi Bin Azraai. "Using Conceptual Blending Theory to help college students design online communication models." Dirasat: Human and Social Sciences 52, no. 2 (2024): 389–408. https://doi.org/10.35516/hum.v52i2.6327.

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Objective: This study examines modal social media visuals using Conceptual Blending Theory (CBT) and its theoretical foundation, Conceptual Blending Network, to improve college students' visual communication on social media. Methods: The study explores social media visuals and CBN's mechanism. It goes beyond meme design to explain the key factors and reinforcement strategies needed to use CBN to create social media visuals. This study creates an empirical experimental model for validation, a novel approach. The experimental model teaches college students how to create engaging social media vis
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Dimitriadi, Ekaterina M. "Visual city model in the context of visual urbanism." Общество: философия, история, культура, no. 4 (2022): 164–68. http://dx.doi.org/10.24158/fik.2022.4.26.

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Yano, Katsuya, and Takeshi Kohama. "Visual search model considering spatial modification of visual attributes." Neuroscience Research 71 (September 2011): e256. http://dx.doi.org/10.1016/j.neures.2011.07.1116.

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Xi, Yuling, Yanning Zhang, Songtao Ding, and Shaohua Wan. "Visual question answering model based on visual relationship detection." Signal Processing: Image Communication 80 (February 2020): 115648. http://dx.doi.org/10.1016/j.image.2019.115648.

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Sonawale, Ruchita. "Visual Mind: Visual Question Answering (VQA) with CLIP Model." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 3843–49. http://dx.doi.org/10.22214/ijraset.2024.60786.

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Abstract: This paper proposes a Visual Question Answering (VQA) problem using CLIP models. The proposed approach suggests an enhanced VQA-CLIP model with additional layers for better computational performance. VQA is an increasingly important task that aims to answer open-ended questions based on images. This task has numerous applications in various fields such as medicine, education, and surveillance. The VizWiz dataset, specifically designed to assist visually impaired individuals, consists of image/question pairs along with 10 answers per question, recorded by blind participants in a natur
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Haniah, Haniah, and Jumadil Jumadil. "Visual Technology Development for Arabic Learning Based on ADDIE Development Model." Jurnal Al-Maqayis 9, no. 2 (2022): 147. http://dx.doi.org/10.18592/jams.v9i2.5692.

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This article aimed to determine the variety of visual technology and its development in learning Arabic. Visual technologies that could be used by Arabic language teachers were all kinds of media that could be used in general learning, both in the form of non-projected visual media and projected visual media, Non-projected visuals in the form of graphic media, realia (real objects), and models, while visual media that could be projected are LCDs, and digital cameras. In its development, Arabic learning could be developed with various models, one of which is the development of the ADDIE (analyz
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Дисертації з теми "Visual model"

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Barron-Gonzalez, Hector. "Cognitive model for visual SLAM." Thesis, University of Sheffield, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.575461.

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In mobile robotics, visual perception in unknown environments consists mainly of two tasks: generation of a map and localization of the agent within it, using images as input. This problem is commonly called Visual Simultaneous Localization and Mapping ( Visual SLA M). This project aims of increasing the capacities of spatial reasoning in robotics systems based on cognitive vision. Baycsian formulation of visual mapping is extended to consider geometric properties for increasing of scene understand- ing. In this search, this work presents a framework that covers the computa- tional and algorit
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Chilukamari, Jayachandra. "A computational model of visual attention." Thesis, Robert Gordon University, 2017. http://hdl.handle.net/10059/2443.

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Visual attention is a process by which the Human Visual System (HVS) selects most important information from a scene. Visual attention models are computational or mathematical models developed to predict this information. The performance of the state-of-the-art visual attention models is limited in terms of prediction accuracy and computational complexity. In spite of significant amount of active research in this area, modelling visual attention is still an open research challenge. This thesis proposes a novel computational model of visual attention that achieves higher prediction accuracy wit
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Khan, Tamim Ahmed. "Model-based testing using visual contracts." Thesis, University of Leicester, 2012. http://hdl.handle.net/2381/27571.

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Web services only expose interface level information, abstracting away implementation details. Testing is a time consuming and resource-intensive activity. Therefore, it is important to minimize the set of test cases executed without compromising quality. Since white-box testing techniques and traditional structural coverage criteria require access to code, we require a model-based approach for web service testing. Testing relies on oracles to provide expected outcomes for test cases and, if implemented manually, they depend on testers’ understanding of functional requirements to decide the co
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De, Biswas Kaustuv Kanti. "A computational model of visual interpretation." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35129.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Architecture, 2006.<br>Includes bibliographical references (leaves 48-50).<br>From the very early phases of design conception, designers use sketches as a powerful design tool. Sketches are however ambiguous. Meanings are associated on fly as the designer 'comes up' with certain ideas while working with it. There is no hierarchy in a sketch. In fact 'structure' is established only after meanings are applied to the sketch. However even in such structurally and conceptually fluid territory, the designer solves most of his design prob
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Cisneros, Marco Antonio Perez. "Intelligent model structures in visual servoing." Thesis, University of Manchester, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.682243.

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This thesis focuses on visual servoing (VS) control systems, particularly on image-based visual servoing (IBVS) control structures. In IBVS, the error signal is computed in the image plane and the regulation commands are generated with respect to such error by means of a visual Jacobian. The main design challenge is the high latency of the visual sensor which affects the overall performance and limits the design. The primary objective is to develop a complete framework for simulation and real-time experimentation of VS schemes. One commercial CCD camera is attached to the TQ MA2000 robotic man
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Bayerl, Pierre. "A model of visual motion perception." [S.l. : s.n.], 2006. http://nbn-resolving.de/urn:nbn:de:bsz:289-vts-56293.

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Blais, Bruno. "Model-based visual inspection of hybrid circuits." Thesis, McGill University, 1987. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=63928.

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Gilja, Vikash. "Learning and applying model-based visual context." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/33139.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.<br>Includes bibliographical references (p. 53).<br>I believe that context's ability to reduce the ambiguity of an input signal makes it a vital constraint for understanding the real world. I specifically examine the role of context in vision and how a model-based approach can aid visual search and recognition. Through the implementation of a system capable of learning visual context models from an image database, I demonstrate the utility of the model-based approach. The system
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Lee, KangWoo. "Computational model of visual attention : integrative approach." Thesis, University of Sussex, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.289231.

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Hesam, Shariati Nastaran. "A functional model for primary visual cortex." Thesis, The University of Sydney, 2012. http://hdl.handle.net/2123/8753.

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Many neurons in mammalian primary visual cortex have properties such as sharp tuning for contour orientation, strong selectivity for motion direction, and insensitivity to stimulus polarity, that are not shared with their sub-cortical counterparts. Successful models have been developed for a number of these properties but in one case, direction selectivity, there is no consensus about underlying mechanisms. This thesis describes a model that accounts for many of the empirical observations concerning direction selectivity. The model comprises a single column of cat primary visual cortex and a s
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Книги з теми "Visual model"

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Panin, Giorgio. Model-Based Visual Tracking. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9780470943922.

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Panin, Giorgio. Model-based visual tracking: The OpenTL framework. Wiley, 2011.

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3

Hitoshi, Sasaki. Dual processing model of visual information: Cortical and subcortical processing. Nova Science Publishers, 2009.

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4

Starakiewicz, Maja. Model i metafora: Komunikacja wizualna w humanistyce. Korporacja "Ha!art", 2019.

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5

Neff, Michael. A visual model for blast waves and fracture. University of Toronto, Dept. of Computer Science, 1998.

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6

Butler, Tracy Michelle. An intergrated model for planning the visual care of children. University of Birmingham, 1998.

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7

Inc, VisionSmart. Development of lab model of automated visual lumber grading system. Forestry Canada, Alberta Forest Service, 1989.

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8

Djang, Rebecca. Similarity inheritance: A model of inheritance for declarative visual programming languages. Oregon State University, Dept. of Computer Science, 1999.

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9

Djang, Rebecca W. Similarity inheritance: A new model of inheritance for spreadsheet VPLs. Oregon State University, Dept. of Computer Science, 1998.

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10

Heikkilä, Tapio Arturri. A model-based approach to high-level robot control with visual guidance. Technical Research Centre of Finland, 1990.

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Частини книг з теми "Visual model"

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Daw, Nigel W. "Long-Term Potentiation as a Model." In Visual Development. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4757-6940-1_11.

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Imiya, Atsushi, and Toshihiro Nakamura. "A Computational Model of Mathematical Morphology." In Visual Form. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4899-0715-8_29.

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Haralick, Robert M. "Model-Based Morphology: Simple and Complex Shapes." In Visual Form. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4899-0715-8_27.

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Budd, Andy, and Emil Björklund. "Visual Formatting Model Overview." In CSS Mastery. Apress, 2016. http://dx.doi.org/10.1007/978-1-4302-5864-3_3.

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Kress, Moshe. "The Visual Network Model." In Management for Professionals. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-22674-3_9.

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Budd, Andy, Simon Collison, and Cameron Moll. "Visual Formatting Model Overview." In CSS Mastery. Apress, 2009. http://dx.doi.org/10.1007/978-1-4302-2398-6_3.

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Kress, Moshe. "The Visual Network Model." In Operational Logistics. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-1085-7_7.

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Nishita, Tomoyuki, Shinichi Takita, and Eihachiro Nakamae. "A Shading Model of Parallel Cylindrical Light Sources." In Visual Computing. Springer Japan, 1992. http://dx.doi.org/10.1007/978-4-431-68204-2_27.

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Pons-Moll, Gerard, and Bodo Rosenhahn. "Model-Based Pose Estimation." In Visual Analysis of Humans. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-997-0_9.

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Jungert, Erland. "A Conceptual Image Data Model For Image Information Retrieval." In Visual Languages. Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-1805-7_12.

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Тези доповідей конференцій з теми "Visual model"

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Ivanchikj, Ana, Souhaila Serbout, and Cesare Pautasso. "From text to visual BPMN process models." In MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems. ACM, 2020. http://dx.doi.org/10.1145/3365438.3410990.

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Ivanchikj, Ana, Cesare Pautasso, and Silvia Schreier. "Visual modeling of RESTful conversations with RESTalk." In MODELS '16: ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems. ACM, 2016. http://dx.doi.org/10.1145/2976767.2987691.

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Piedade, Bruno, João Pedro Dias, and Filipe F. Correia. "An empirical study on visual programming docker compose configurations." In MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems. ACM, 2020. http://dx.doi.org/10.1145/3417990.3420194.

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Hongu, Takahiro, Takeshi Agui, and Hiroshi Nagahashi. "Adaptive model for mixed binary image coding." In Visual Communications '93, edited by Barry G. Haskell and Hsueh-Ming Hang. SPIE, 1993. http://dx.doi.org/10.1117/12.157862.

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Selway, Matt, Georg Grossman, Markus Stumptner, Kerryn R. Owen, and Richard M. Dexter. "Integration of Visual Contracts and Model Transformation for Enhanced MDE Development." In MODELS '18: ACM/IEEE 21th International Conference on Model Driven Engineering Languages and Systems. ACM, 2018. http://dx.doi.org/10.1145/3239372.3239399.

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Wang, Jinjun, Qiqi Hou, Nan Liu, and Shizhou Zhang. "Model of Human Visual Cortex Inspired Computational Models for Visual Recognition." In 2015 IEEE International Conference on Multimedia Big Data (BigMM). IEEE, 2015. http://dx.doi.org/10.1109/bigmm.2015.29.

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Yunibhand, Kuplong, Hirotsugu Kinoshita, and Yoshinori Sakai. "Hand gesture recognition using a stick figure model." In Visual Communications '93, edited by Barry G. Haskell and Hsueh-Ming Hang. SPIE, 1993. http://dx.doi.org/10.1117/12.157879.

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Xiao, He, Ma Zhiyi, Liu Yi, Chen Hongjie, and Shao Weizhong. "VisTML: A Visual Modeling Language for Model Transformation." In 2011 18th Asia Pacific Software Engineering Conference. IEEE, 2011. http://dx.doi.org/10.1109/apsec.2011.43.

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Li, Bingcheng, and Songde Ma. "Pyramid AR model to generate fractal Brownian random field." In Visual Communications '93, edited by Barry G. Haskell and Hsueh-Ming Hang. SPIE, 1993. http://dx.doi.org/10.1117/12.157865.

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Zhang, Xiaoxiao, Arthur Bradley, Ming Ye, and Larry Thibos. "An Experimental Model of Bifocal Vision." In Ophthalmic and Visual Optics. Optica Publishing Group, 1992. http://dx.doi.org/10.1364/ovo.1992.thb1.

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Contact and intraocular lens designers and manufacturers have considered many strategies to provide presbyopes with good near and distant vision. In particular, considerable effort has been made recently to design simultaneous vision bifocal contact and intraocular lenses (CL and IOL). These simultaneous vision bifocals create dual images simultaneously on the retina (we will refer to this as monocular diplopia). Very little is known about the visual impact of such an optical situation.
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Звіти організацій з теми "Visual model"

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Reeves, Adam. A Model for Visual Attention. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada179589.

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Reeves, Adam. A Model for Visual Attention. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada193061.

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Sekuler, Robert. Model-Driven Study of Visual Memory. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada435772.

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Amit, Yali, and Donald Geman. A Computational Model for Visual Selection. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada344220.

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Hirsch, Joy. Limits of Human Visual Discrimination: Toward a General Model of Visual Geometry. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada226826.

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Manyashin, A. V. Visual design of simulation model components in Stamm 4.1. OFERNIO, 2020. http://dx.doi.org/10.12731/ofernio.2020.24556.

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Verghese, Preeti. A Model for Visual Decision Making Under Time Pressure. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada567154.

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Breuel, Thomas M. Indexing for Visual Recognition from a Large Model Base. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada229320.

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Findel, Leif H. Visual Perception of Depth from Occlusion: A Neural Network Model. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada249035.

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Finkel, Leif H. Visual Perception of Depth-from-Occlusion: A Neural Network Model. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada249771.

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