Relevant bibliographies by topics / Temporal grouping

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Temporal grouping'

Author: Grafiati
Published: 4 June 2021
Last updated: 18 February 2022

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Journal articles on the topic "Temporal grouping"

1

Aydın, Murat, Michael H. Herzog, and Haluk Öğmen. "Attention modulates spatio-temporal grouping." Vision Research 51, no. 4 (February 2011): 435–46. http://dx.doi.org/10.1016/j.visres.2010.12.013.

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Hermens, Frouke, Frank Scharnowski, and Michael H. Herzog. "Spatial grouping determines temporal integration." Journal of Experimental Psychology: Human Perception and Performance 35, no. 3 (2009): 595–610. http://dx.doi.org/10.1037/a0013706.

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Nicol, Jeffrey R., and David I. Shore. "Perceptual grouping impairs temporal resolution." Experimental Brain Research 183, no. 2 (July 17, 2007): 141–48. http://dx.doi.org/10.1007/s00221-007-1034-9.

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Blake, R., and S. H. Lee. "Temporal precision of visual grouping from temporal structure." Journal of Vision 2, no. 7 (March 15, 2010): 233. http://dx.doi.org/10.1167/2.7.233.

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Stefanics, Gábor, Gábor Háden, Minna Huotilainen, László Balázs, István Sziller, Anna Beke, Vineta Fellman, and István Winkler. "Auditory temporal grouping in newborn infants." Psychophysiology 44, no. 5 (September 2007): 697–702. http://dx.doi.org/10.1111/j.1469-8986.2007.00540.x.

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Guttman, Sharon E., Lee A. Gilroy, and Randolph Blake. "Spatial grouping in human vision: Temporal structure trumps temporal synchrony." Vision Research 47, no. 2 (January 2007): 219–30. http://dx.doi.org/10.1016/j.visres.2006.09.012.

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Parmentier, Fabrice B. R., Murray T. Maybery, and Dylan M. Jones. "Temporal grouping in auditory spatial serial memory." Psychonomic Bulletin & Review 11, no. 3 (June 2004): 501–7. http://dx.doi.org/10.3758/bf03196602.

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Liu, Yang S., and Jeremy B. Caplan. "Temporal grouping and direction of serial recall." Memory & Cognition 48, no. 7 (July 23, 2020): 1295–315. http://dx.doi.org/10.3758/s13421-020-01049-x.

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Farid, H. "Temporal synchrony in perceptual grouping: a critique." Trends in Cognitive Sciences 6, no. 7 (July 1, 2002): 284–88. http://dx.doi.org/10.1016/s1364-6613(02)01927-7.

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Prince, Jon B., and Tim Rice. "Regularity and dimensional salience in temporal grouping." Journal of Experimental Psychology: Human Perception and Performance 44, no. 9 (September 2018): 1356–67. http://dx.doi.org/10.1037/xhp0000542.

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Dissertations / Theses on the topic "Temporal grouping"

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Ng, Li Huang Honey. "Evaluating models of verbal serial short-term memory using temporal grouping phenomena." University of Western Australia. School of Psychology, 2007. http://theses.library.uwa.edu.au/adt-WU2008.0059.

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[Truncated abstract] Various capabilities such as the ability to read or conduct a conversation rely on our ability to maintain and recall information in the correct order. Research spanning more than a century has been devoted to understanding how units of information are retained in order in short-term memory. The nature of the mechanisms that code the positions of items in serial short-term verbal recall can be investigated by examining a set of phenomena that can be termed temporal grouping effects. Inserting extended pauses to break a list of verbal items into sub-lists (e.g. SHD-QNR-BJF,
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Fan, Yu. "A study on audio-visual interaction: How visual temporal cues influence grouping of auditory events." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1544732438004088.

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Oliveira, Paulo Jose A. "Spatial and Temporal Modeling of Water Demands for Water Distribution Systems." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1613748818835557.

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Maia, Gisele Costa. "Reagrupamentos temporários e o sucesso na alfabetização de crianças: estudo de caso em duas escolas públicas da superintendência regional de ensino de Montes Claros." Universidade Federal de Juiz de Fora, 2012. https://repositorio.ufjf.br/jspui/handle/ufjf/1734.

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Submitted by Renata Lopes (renatasil82@gmail.com) on 2016-06-29T17:33:59Z No. of bitstreams: 1 giselecostamaia.pdf: 774401 bytes, checksum: 5cd5a6bd8b0f088ebf40f67286cfba1e (MD5)<br>Approved for entry into archive by Diamantino Mayra (mayra.diamantino@ufjf.edu.br) on 2016-07-05T16:03:23Z (GMT) No. of bitstreams: 1 giselecostamaia.pdf: 774401 bytes, checksum: 5cd5a6bd8b0f088ebf40f67286cfba1e (MD5)<br>Made available in DSpace on 2016-07-05T16:03:23Z (GMT). No. of bitstreams: 1 giselecostamaia.pdf: 774401 bytes, checksum: 5cd5a6bd8b0f088ebf40f67286cfba1e (MD5) Previous issue date: 2012-07-
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Paine, Llewyn Elise. "Modulation of implicit working memory in temporal grouping." Thesis, 2010. http://hdl.handle.net/2152/ETD-UT-2010-08-1786.

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A critical function of perception is the organization of temporally spaced input. This is accomplished through grouping, a process by which within-group elements are integrated with one another to form a cohesive unit. Grouping also requires boundaries to set off within-group elements from unrelated stimuli. In the temporal domain, grouping may be accomplished through use of an implicit working memory system that connects temporally spaced information. Temporal group boundaries may be created by reductions in the default integrative processes of this memory system. The present experiments
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Chen, Lihan [Verfasser]. "Crossmodal temporal capture in visual and tactile apparent motion : influences of temporal structure and crossmodal grouping / vorgelegt von Lihan Chen." 2009. http://d-nb.info/1004021852/34.

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Castellano, Marta. "Computational Principles of Neural Processing: modulating neural systems through temporally structured stimuli." Doctoral thesis, 2014. https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-2014121112959.

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In order to understand how the neural system encodes and processes information, research has focused on the study of neural representations of simple stimuli, paying no particular attention to it's temporal structure, with the assumption that a deeper understanding of how the neural system processes simpli fied stimuli will lead to an understanding of how the brain functions as a whole [1]. However, time is intrinsically bound to neural processing as all sensory, motor, and cognitive processes are inherently dynamic. Despite the importance of neural and stimulus dynamics, little is known of ho
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Books on the topic "Temporal grouping"

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Cusack, Rhodri. The role of differences in the temporal characteristics of sounds on their sequential grouping. Birmingham: University of Birmingham, 1997.

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Calero, Juan Gómez. Las agrupaciones de interés económico: Las uniones temporales de empresas. Madrid: Marcial Pons, Ediciones Jurídicas y Sociales, 2001.

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Pérez, Antonio Aparicio. La disimulada pervivencia del régimen de transparencia fiscal: (aspectos jurídico-fiscales de las agrupaciones de interés económico, agrupaciones europeas de interés económico y uniones temporales de empresas). Oviedo, Asturias: Universidad de Oviedo, 2011.

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La Union Temporal de Empresas: Una Forma de Negocio En Colaboracion. Not Avail, 2003.

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Stevens, Catherine, and Tim Byron. Universale in music processing. Edited by Susan Hallam, Ian Cross, and Michael Thaut. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199298457.013.0002.

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This article outlines areas of musical processing that may be universal to humans. Music here refers to temporally structured human activities, social and individual, in the production and perception of sound organized in patterns that convey non-linguistic meaning. Music processing refers to the neural contribution in perception, cognition, and production of music. The universal music processes discussed are hypotheses that require investigation and falsification in as many and varied cultural contexts as possible. The discussion begins with processes of grouping and segmentation, then moves
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Book chapters on the topic "Temporal grouping"

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Clifford, James, Albert Croker, Fabio Grandi, and Alexander Tuzhilin. "On Temporal Grouping." In Workshops in Computing, 194–213. London: Springer London, 1995. http://dx.doi.org/10.1007/978-1-4471-3033-8_11.

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Tiecheng, Liu, and John R. Kender. "Spatial-Temporal Semantic Grouping of Instructional Video Content." In Lecture Notes in Computer Science, 362–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45113-7_36.

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Boykin, Gary L., and Valerie J. Rice. "Neurocognitive Temporal Training for Improved Military Marksmanship: Grouping and Zeroing." In Advances in Neuroergonomics and Cognitive Engineering, 68–79. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60642-2_7.

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Blake, Randolph, and Sang-Hun Lee. "Temporal Structure in the Input to Vision Can Promote Spatial Grouping." In Biologically Motivated Computer Vision, 635–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45482-9_64.

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Dickmann, Lutz, Tobias Lensing, Robert Porzel, Rainer Malaka, and Christoph Lischka. "Sketch-Based Interfaces: Exploiting Spatio-temporal Context for Automatic Stroke Grouping." In Smart Graphics, 139–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13544-6_13.

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Srivastava, Shreyash, Shaurya Ahuja, and Ankush Mittal. "Determining Most Visited Locations Based on Temporal Grouping of GPS Data." In Advances in Intelligent and Soft Computing, 63–72. New Delhi: Springer India, 2012. http://dx.doi.org/10.1007/978-81-322-0491-6_6.

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Song, Chunbo, and Christopher Rasmussen. "Multi-camera Temporal Grouping for Play/Break Event Detection in Soccer Games." In Advances in Visual Computing, 231–43. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33720-9_18.

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Wang, Zhao, and Jun Ohya. "Fingertips Tracking Algorithm for Guitarist Based on Temporal Grouping and Pattern Analysis." In Computer Vision – ACCV 2016 Workshops, 212–26. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54526-4_16.

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Hamadache, Billel, Hassina Seridi-Bouchelaghem, and Nadir Farah. "An Elite Grouping of Individuals for Expressing a Core Identity Based on the Temporal Dynamicity or the Semantic Richness." In Lecture Notes in Social Networks, 119–43. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12188-8_6.

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Bertelson, Paul. "Chapter 14 Ventriloquism: A case of crossmodal perceptual grouping." In Cognitive Contributions to the Perception of Spatial and Temporal Events, 347–62. Elsevier, 1999. http://dx.doi.org/10.1016/s0166-4115(99)80034-x.

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Conference papers on the topic "Temporal grouping"

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Combi, Carlo, Paolo Parise, Pietro Sala, and Giuseppe Pozzi. "Mining Approximate Temporal Functional Dependencies Based on Pure Temporal Grouping." In 2013 IEEE 13th International Conference on Data Mining Workshops (ICDMW). IEEE, 2013. http://dx.doi.org/10.1109/icdmw.2013.100.

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Tian, Wei, and Martin Lauer. "Joint tracking with event grouping and temporal constraints." In 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). IEEE, 2017. http://dx.doi.org/10.1109/avss.2017.8078515.

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Dumas, Marlon, Marie-Christine Fauvet, and Pierre-Claude Scholl. "Handling temporal grouping and pattern-matching queries in a temporal object model." In the seventh international conference. New York, New York, USA: ACM Press, 1998. http://dx.doi.org/10.1145/288627.288691.

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Qiu, Zhikang, Xu Zhao, and Zhilan Hu. "Efficient Temporal-Spatial Feature Grouping For Video Action Recognition." In 2020 IEEE International Conference on Image Processing (ICIP). IEEE, 2020. http://dx.doi.org/10.1109/icip40778.2020.9190997.

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Cour, Timothee, Benjamin Sapp, Akash Nagle, and Ben Taskar. "Talking pictures: Temporal grouping and dialog-supervised person recognition." In 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2010. http://dx.doi.org/10.1109/cvpr.2010.5540106.

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Yang, Guodong, Xiang Wang, and Zhitao Huang. "Moving object grouping rule mining based on accumulated spatio-temporal data." In 2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA). IEEE, 2017. http://dx.doi.org/10.1109/ciapp.2017.8167060.

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Misael, Luan, Carlos Forster, Emanuel Fontelles, Vinicius Sampaio, and Mardônio França. "Temporal Analysis and Visualisation of Music." In Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/eniac.2020.12155.

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This paper proposes a temporal analysis for music metadata using a generative probabilistic model for collections the discrete datasets such as text corpora. This method is also a topic model that is used for discovering abstract topics from a collection of documents. The method is then applied to audio metadata and song lyrics extracted with Echo Nest® engine, Spotify® Lyrics Genius® API. Song data time series are generated by grouping data items by release date, genre and dominant topics (from LDA analysis). Using a technique from Network Theory we visualise how these topics, in this case, g
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Decombas, Marc, Frederic Dufaux, and Beatrice Pesquet-Popescu. "Spatio-temporal grouping with constraint for seam carving in video summary application." In 2013 18th International Conference on Digital Signal Processing (DSP). IEEE, 2013. http://dx.doi.org/10.1109/icdsp.2013.6622744.

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Li, Shasha, Mustafa Arslan, Amir Khojastepour, Srikanth V. Krishnamurthy, and Sampath Rangarajan. "DeepTrack: Grouping RFID Tags Based on Spatio-temporal Proximity in Retail Spaces." In IEEE INFOCOM 2020 - IEEE Conference on Computer Communications. IEEE, 2020. http://dx.doi.org/10.1109/infocom41043.2020.9155357.

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Schmugge, Stephen J., Lance Rice, N. Rich Nguyen, John Lindberg, Robert Grizzi, Chris Joffe, and Min C. Shin. "Detection of cracks in nuclear power plant using spatial-temporal grouping of local patches." In 2016 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2016. http://dx.doi.org/10.1109/wacv.2016.7477601.

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Reports on the topic "Temporal grouping"

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Megret, Remi, and Daniel DeMenthon. A Survey of Spatio-Temporal Grouping Techniques. Fort Belvoir, VA: Defense Technical Information Center, August 2002. http://dx.doi.org/10.21236/ada459242.

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