Gotowa bibliografia na temat „Visual modelling”

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Artykuły w czasopismach na temat "Visual modelling"

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Bezerra, Silvio, Armand Caron, and Yves Cherruault. "Visual modelling." International Journal of Bio-Medical Computing 32, no. 3-4 (May 1993): 181–95. http://dx.doi.org/10.1016/0020-7101(93)90013-v.

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Smith, V. L. "Visual Interactive Modelling." Journal of the Operational Research Society 37, no. 10 (October 1986): 1017. http://dx.doi.org/10.2307/2582292.

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Smith, V. L. "Visual Interactive Modelling." Journal of the Operational Research Society 37, no. 10 (October 1986): 1017–20. http://dx.doi.org/10.1057/jors.1986.173.

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Hurrion, R. D. "Visual interactive modelling." European Journal of Operational Research 23, no. 3 (March 1986): 281–87. http://dx.doi.org/10.1016/0377-2217(86)90293-6.

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Bell, Peter C. "Visual Interactive Modelling: Reply." Journal of the Operational Research Society 37, no. 10 (October 1986): 1020. http://dx.doi.org/10.2307/2582293.

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Semenenko, M. G. "Visual modelling electrochemical processes." Journal of Power Sources 191, no. 1 (June 2009): 91–96. http://dx.doi.org/10.1016/j.jpowsour.2008.10.128.

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Bell, Peter C. "Visual Interactive Modelling: Reply." Journal of the Operational Research Society 37, no. 10 (October 1986): 1020–21. http://dx.doi.org/10.1057/jors.1986.174.

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Hurrion, R. D. "Intelligent Visual Interactive Modelling." European Journal of Operational Research 54, no. 3 (October 1991): 349–56. http://dx.doi.org/10.1016/0377-2217(91)90110-h.

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Powers, M. K., and W. P. Fisher. "Advances in modelling visual symptoms and visual skills." Journal of Physics: Conference Series 1379 (November 2019): 012044. http://dx.doi.org/10.1088/1742-6596/1379/1/012044.

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Itti, Laurent, and Christof Koch. "Computational modelling of visual attention." Nature Reviews Neuroscience 2, no. 3 (March 2001): 194–203. http://dx.doi.org/10.1038/35058500.

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Rozprawy doktorskie na temat "Visual modelling"

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Narbutas, Vilius. "Computational modelling of visual search." Thesis, University of Birmingham, 2018. http://etheses.bham.ac.uk//id/eprint/8772/.

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Visual search traditionally has two main competing theories of parallel and serial search and this architectural issue has not been solved to this day. The latest developments in the field have suggested a possibility that response time distributions may aid in differentiating the two competing theories. For this purpose we have used the best available serial model Competitive Guided Search and two biologically-plausible parallel models inspired by the theory of biased competition. The parallel models adopted a winner-take-all mechanism from Selective Attention for Identification Model as base
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Bühler, Frank Stefan. "Combining visual modelling with visual programming for CORBA component development." Thesis, De Montfort University, 2002. http://hdl.handle.net/2086/4068.

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Clarke, Alasdair Daniel Francis. "Modelling visual search for surface defects." Thesis, Heriot-Watt University, 2010. http://hdl.handle.net/10399/2351.

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Much work has been done on developing algorithms for automated surface defect detection. However, comparisons between these models and human perception are rarely carried out. This thesis aims to investigate how well human observers can nd defects in textured surfaces, over a wide range of task di culties. Stimuli for experiments will be generated using texture synthesis methods and human search strategies will be captured by use of an eye tracker. Two di erent modelling approaches will be explored. A computational LNL-based model will be developed and compared to human performance in terms of
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Woodbury, Greg. "Modelling Emergent Properties of the Visual Cortex." University of Sydney. School of Mathematics and Statistics, 2003. http://hdl.handle.net/2123/695.

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Wu, Qi. "Modelling visual objects regardless of depictive style." Thesis, University of Bath, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.646137.

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Visual object classifcation and detection are major problems in contemporary com- puter vision. State-of-art algorithms allow thousands of visual objects to be learned and recognized, under a wide range of variations including lighting changes, occlusion and point of view etc. However, only a small fraction of the literature addresses the problem of variation in depictive styles (photographs, drawings, paintings etc.). This is a challenging gap but the ability to process images of all depictive styles and not just photographs has potential value across many applications. This thesis aims to na
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Dziemianko, Michal. "Modelling eye movements and visual attention in synchronous visual and linguistic processing." Thesis, University of Edinburgh, 2013. http://hdl.handle.net/1842/9377.

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This thesis focuses on modelling visual attention in tasks in which vision interacts with language and other sources of contextual information. The work is based on insights provided by experimental studies in visual cognition and psycholinguistics, particularly cross-modal processing. We present a series of models of eye-movements in situated language comprehension capable of generating human-like scan-paths. Moreover we investigate the existence of high level structure of the scan-paths and applicability of tools used in Natural Language Processing in the analysis of this structure. We show
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Stewart, Finlay J. "Modelling visual-olfactory integration in free-flying Drosophila." Thesis, University of Edinburgh, 2010. http://hdl.handle.net/1842/3192.

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Flying fruit flies (Drosophila melanogaster) locate a concealed appetitive odour source most accurately in environments containing vertical visual contrasts (Frye et al, 2003). To investigate how visuomotor and olfactory responses interact to cause this phenomenon, I implement a tracking system capable of recording flies’ flight trajectories in three dimensions. I examine free-flight behaviour in three different visual environments, with and without food odour present. While odour localisation is facilitated by a random chequerboard pattern compared to a horizontally striped one, a single vert
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Lazarevic, N. "Background modelling and performance metrics for visual surveillance." Thesis, Kingston University, 2011. http://eprints.kingston.ac.uk/21831/.

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This work deals with the problems of performance evaluation and background modelling for the detection of moving objects in outdoor video surveillance datasets. Such datasets are typically affected by considerable background variations caused by global and partial illumination variations, gradual and sudden lighting condition changes, and non-stationary backgrounds. The large variation of backgrounds in typical outdoor video sequences requires highly adaptable and robust models able to represent the background at any time instance with sufficient accuracy. Furthermore, in real life application
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Mineault, Patrick. "Parametric modelling of visual cortex at multiple scales." Thesis, McGill University, 2014. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=123020.

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The visual system is confronted with the daunting task of extracting behaviourally relevant visual information from noisy and ambiguous patterns of luminance falling on the retina. It solves this problem through a hierarchical architecture, in which the visual stimulus is iteratively re-encoded into ever more abstract representations which can drive behaviour. This thesis explores the question of how the computations performed by neurons in the visual hierarchy create behaviourally relevant representations. This question requires probing the visual system at multiple scales: computation is the
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Jilani, Mohd Zairul Mazwan Bin. "Simultaneous modelling and clustering of visual field data." Thesis, Brunel University, 2017. http://bura.brunel.ac.uk/handle/2438/17227.

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In the health-informatics and bio-medical domains, clinicians produce an enormous amount of data which can be complex and high in dimensionality. This scenario includes visual field data, which are used for managing the second leading cause of blindness in the world: glaucoma. Visual field data are the most common type of data collected to diagnose glaucoma in patients, and usually the data consist of 54 or 76 variables (which are referred to as visual field locations). Due to the large number of variables, the six nerve fiber bundles (6NFB), which is a collection of visual field locations in
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Książki na temat "Visual modelling"

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Staples, Sandy. A review of visual inteactive modelling. London, Canada: Western Business School, University of Western Ontario, 1994.

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Bühler, Frank Stefan. Combining visual modelling with visual programming for CORBA component development. Leicester: De Montfort University, 2002.

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Bühler, Frank Stefan. Combining visual modelling with visual programming for CORBA component development. Leicester: De Montfort University, 2002.

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Bühler, Frank Stefan. Combining visual modelling with visual programming for CORBA component development. Leicester: De Montfort University, 2002.

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Coquillart, Sabine. From Object Modelling to Advanced Visual Communication. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994.

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Coquillart, Sabine, Wolfgang Straßer, and Peter Stucki, eds. From Object Modelling to Advanced Visual Communication. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-78291-6.

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Mitronikas, Pangiotis. A visual simulation environment for modelling of traffic scenes. Manchester: UMIST, 1996.

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Environment, Alberta Alberta. The Southern Rockies landscape planning pilot study: Visual resource modelling. [Edmonton]: Alberta Environment, Land and Forest Service, Integrated Resource Management Division, 2000.

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Angehrn, Albert A. "Visual interactive modelling and intelligent DSS: Putting theory into practice". Fontainbleau: INSEAD, 1986.

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Angehrn, Albert. Visual interactive modelling and intelligent DSS: Putting theory into practice. Fontainebleau, France: INSEAD, 1990.

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Części książek na temat "Visual modelling"

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Schauer, Reinhard, and Siegfried Schönberger. "Visual Object Modelling." In Database and Expert Systems Applications, 300–307. Vienna: Springer Vienna, 1992. http://dx.doi.org/10.1007/978-3-7091-7557-6_52.

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Gong, Shaogang, and Tao Xiang. "Modelling Gesture." In Visual Analysis of Behaviour, 95–131. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-670-2_5.

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Gong, Shaogang, and Tao Xiang. "Towards Modelling Behaviour." In Visual Analysis of Behaviour, 39–65. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-670-2_3.

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Hammel, Mark S., Przemyslaw Prusinkiewicz, and Brian Wyvill. "Modelling Compound Leaves Using Implicit Contours." In Visual Computing, 199–212. Tokyo: Springer Japan, 1992. http://dx.doi.org/10.1007/978-4-431-68204-2_13.

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Zboinska, Malgorzata A. "Boosting the Efficiency of Architectural Visual Scripts." In Modelling Behaviour, 479–90. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24208-8_40.

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Hill, Geoff. "Visual and Mechanical Design." In Loudspeaker Modelling and Design, 139–41. New York, NY: Routledge, [2019]: Routledge, 2018. http://dx.doi.org/10.4324/9781351116428-32.

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Gong, Shaogang, and Tao Xiang. "Modelling Rare and Subtle Behaviours." In Visual Analysis of Behaviour, 251–66. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-670-2_11.

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Marcelli, Angelo, Antonio Parziale, and Adolfo Santoro. "Modelling Visual Appearance of Handwriting." In Image Analysis and Processing – ICIAP 2013, 673–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41184-7_68.

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Schelle, Alexander, and Peter Stütz. "Modelling Visual Communication with UAS." In Modelling and Simulation for Autonomous Systems, 81–98. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47605-6_7.

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Hofmann, Heike. "Interactive Biplots for Visual Modelling." In COMPSTAT 2004 — Proceedings in Computational Statistics, 223–34. Heidelberg: Physica-Verlag HD, 2004. http://dx.doi.org/10.1007/978-3-7908-2656-2_18.

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Streszczenia konferencji na temat "Visual modelling"

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Terzopoulos, Demetri. "Visual Modelling." In British Machine Vision Conference 1991. Springer-Verlag London Limited, 1991. http://dx.doi.org/10.5244/c.5.2.

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Gil, Joseph, John Howse, and Stuart Kent. "Advanced visual modelling." In the 24th international conference. New York, New York, USA: ACM Press, 2002. http://dx.doi.org/10.1145/581339.581451.

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Sun, L., S. Uchikado, M. Kawata, and K. Tanaka. "On Analysis of Vanishing Point Visual Control System for Image-based Visual Servoing." In Modelling and Simulation. Calgary,AB,Canada: ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.697-028.

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Chatzilari, Elisavet, Spiros Nikolopoulos, Yiannis Kompatsiaris, and Josef Kittler. "Towards modelling visual ambiguity for visual object detection." In the 14th International Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2637748.2638431.

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Poomarin, Warin, Kamol Chuengsatiansup, and Ratchatin Chancharoen. "Visual Positioning of a Delta Robot." In Modelling, Identification and Control. Calgary,AB,Canada: ACTAPRESS, 2013. http://dx.doi.org/10.2316/p.2013.799-109.

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Fu, Qinbing, and Shigang Yue. "Modelling LGMD2 visual neuron system." In 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2015. http://dx.doi.org/10.1109/mlsp.2015.7324313.

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Blažič, S., G. Mušič, D. Matko, G. Klančar, T. Rodič, and K. Oštir. "Image based Visual Servoing of a Remote Sensing Satellite." In Modelling and Simulation. Calgary,AB,Canada: ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.697-032.

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Ko, M. S., S. C. Park, and G. N. Wang. "Visual Validation Of PLC Programs." In 22nd Conference on Modelling and Simulation. ECMS, 2008. http://dx.doi.org/10.7148/2008-0410.

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Lee, Gil-Je, Dae-Soo Kim, and Kee-Young Yoo. "A Triple Access Control System based on Visual Secret Sharing." In Modelling and Simulation. Calgary,AB,Canada: ACTAPRESS, 2013. http://dx.doi.org/10.2316/p.2013.802-072.

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Buono, Paolo, and Angela Locoro. "Modelling Data Visualization Interactions." In AVI '20: International Conference on Advanced Visual Interfaces. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3399715.3399903.

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Raporty organizacyjne na temat "Visual modelling"

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Mahat, Marian, and Wesley Imms. A Day in the Life of a Student: Facilitator Guide. University of Melbourne, 2020. http://dx.doi.org/10.46580/124325.

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A Day in the Life of a Student workshop is a design thinking workshop developed by DLR Group (an integrated design firm) and adapted by the Innovative Learning Environment and Teacher Change project at the University of Melbourne, Australia. The activities involve educators mapping out how one student spends his/her day in school and building a model of the learning environment based on this one student. With an emphasis on the visual learning that comes from modelling experiences, this workshop helps participants develop student-improvement focused practices in innovative learning environment
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