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1

Haanstra, Folkert. Effects of art education on visual-spatial ability and aesthetic perception: Two meta-analyses. Thesis Publishers, 1994.

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2

Manas, Leo. Visual analysis. 4th ed. Optometric Extension Program Foundation, 2009.

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3

Manas, Leo. Visual analysis. 4th ed. Optometric Extension Program Foundation, 2009.

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4

Manas, Leo. Visual analysis. 4th ed. Optometric Extension Program Foundation, 2009.

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5

Needham, Tristan. Visual complex analysis. Clarendon Press, 1997.

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6

Kovalerchuk, Boris, and James Schwing, eds. Visual and Spatial Analysis. Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-1-4020-2958-5.

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Moeslund, Thomas B., Adrian Hilton, Volker Krüger, and Leonid Sigal, eds. Visual Analysis of Humans. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-997-0.

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8

Gong, Shaogang, and Tao Xiang. Visual Analysis of Behaviour. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-670-2.

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9

Chen, Chen, Yuzhuo Ren, and C. C. Jay Kuo. Big Visual Data Analysis. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0631-9.

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10

1947-, Van Leeuwen Theo, and Jewitt Carey, eds. Handbook of visual analysis. SAGE, 2001.

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11

Van Leeuwen, Theo, and Carey Jewitt. The Handbook of Visual Analysis. SAGE Publications Ltd, 2004. http://dx.doi.org/10.4135/9780857020062.

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12

McGee, Fintan, Mohammad Ghoniem, Benoît Otjacques, et al. Visual Analysis of Multilayer Networks. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-031-02608-9.

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13

Mitiche, Amar. Computational Analysis of Visual Motion. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4757-9785-5.

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14

Tomita, Fumiaki, and Saburo Tsuji. Computer Analysis of Visual Textures. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-1553-7.

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15

Carlo, Arcelli, Cordella Luigi P, Sanniti di Baja Gabriella, and International Workshop on Visual Form (1st : 1991 : Capri, Italy), eds. Visual form: Analysis and recognition. Plenum Press, 1992.

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16

1932-, Tsuji Saburō, ed. Computer analysis of visual textures. Kluwer Academic Publishers, 1990.

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17

C, Smardon Richard, Palmer James F. 1950-, and Felleman John P, eds. Foundations for visual project analysis. Wiley, 1986.

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18

Freeman, Thomas Charles Augustus. Visual analysis of retinal flow. University of Birmingham, 1991.

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19

Helmers, Marguerite H. The elements of visual analysis. Longman, 2005.

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20

MacLean, W. James, ed. Spatial Coherence for Visual Motion Analysis. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11676959.

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21

United States. Japan Marketing Center., ed. Total Japan: A descriptive visual analysis. U.S. Japan Marketing Center, 1986.

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22

Chang, Corina Yee-Mei. Analysis of infant visual evoked potentials. National Library of Canada, 1993.

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23

Mousa, Mariam, and Panteá Farvid. Visual Motif Analysis: A Qualitative Method for Analyzing Visual Data Online. SAGE Publications, Ltd., 2022. http://dx.doi.org/10.4135/9781529601800.

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24

David, Machin. Introduction to multimodal analysis. Hodder Arnold, 2007.

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25

J, Murphy John. The Visual Investor. John Wiley & Sons, Ltd., 2009.

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26

Bulkowski, Thomas N. Visual guide to chart patterns. Wiley, 2012.

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27

Bohr, Marco. Visual Counterculture in Japan. Bloomsbury Publishing Plc, 2025. https://doi.org/10.5040/9781350203327.

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This book presents innovative analysis of emergent visual trends in Japan from the late 1960s to the present day. Adopting a thematic approach, this interdisciplinary text deconstructs the role that visual practices played in shaping a variety of countercultural discourses related to politics, gender, identity, sexuality, censorship, ethics and disasters. The book makes the case that visual practices do not merely function as a way to record counterculture, but that such practices are in themselves contributing to dynamics of resistance. By considering a wide range of artists, photographers, f
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28

Fujita, Kazuo, Noriyuki Nakamura, and Sota Watanabe. Visual Illusion in a Comparative Perspective. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0003.

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Visual illusions in nonhuman animals are not only an intriguing topic in themselves but also an important question to understand regarding how humans’ perceptual systems have developed through evolution, why they work as they do, and what mechanisms such illusory processes are based on. Furthermore, the effects of early experience on illusory perception can be understood by controlling raising environments of nonhumans. This chapter presents a brief review of the literature then looks at more recent systematic analyses mainly focused on pigeons. Although pigeons are susceptible to various illu
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29

(Editor), Michael L. Commons, Richard J. Herrnstein (Editor), Stephen M. Kosslyn (Editor), and David B. Mumford (Editor), eds. Behavioral Approaches to Pattern Recognition and Concept Formation: Quantitative Analyses of Behavior, Volume VIII (Quantitative Analyses of Behavior). Lawrence Erlbaum, 1990.

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30

Pollard, Natalie. Poetry, Publishing, and Visual Culture from Late Modernism to the Twenty-first Century. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198852605.001.0001.

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This book examines why it is important to appreciate cultural artefacts such as poems, sculptures, and buildings not as static, perfected objects, but as meshworks of entangled, mutable, and trans-personal forces. Offering six such case studies across the long twentieth century, the book focuses on how poetic works activate closer appreciation of literature’s hybridity. The book analyses how such texts are collaborative, emergent, and between-categories, and shows why this matters. It focuses, first, on how printed poetry is often produced collaboratively, in dialogue with the visual and plast
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31

Maccormick, John. Stochastic Algorithms for Visual Tracking. Springer, 2002.

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32

Mahoney, James, Khairunnisa Mohamedali, and Christoph Nguyen. Causality and Time in Historical Institutionalism. Edited by Orfeo Fioretos, Tulia G. Falleti, and Adam Sheingate. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199662814.013.4.

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This chapter explores the dual concern with causality and time in historical-institutionalism using a graphical approach. Conceptualizing causes as filters, the chapter analyses three concepts that are central to this field: critical junctures, gradual change, and path dependence. The analysis makes explicit and formal the logic underlying studies that use these “causal-temporal” concepts. The chapter shows visually how causality and temporality are linked to one another in varying ways depending on the particular pattern of change. Through this unifying visual grammar, the chapter also outlin
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33

Callahan, William A. Sensible Politics. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190071738.001.0001.

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Visual images are everywhere in international politics. But how are we to understand them? Callahan uses his expertise in theory and filmmaking to explore not only what visuals mean, but also how visuals can viscerally move and connect us in “affective communities of sense.” Sensible Politics explores the visual geopolitics of war, peace, migration, and empire through an analysis of photographs, films, and art. It then expands the critical gaze to consider how “visual artifacts”—maps, veils, walls, gardens, and cyberspace—are sensory spaces in which international politics is performed through
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34

by Tristan Needham (Author)( 1st Edition) (Oxford University Press) (Paperback). Visual Complex Analysis. Prentice Hall, 2008.

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35

Visual complex analysis. Clarendon Press, 1998.

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36

Kosslyn, Stephen M., Michael L. Commons, Richard J. Herrnstein, and David B. Mumford. Behavioral Approaches to Pattern Recognition and Concept Formation: Quantitative Analyses of Behavior, Volume VIII. Taylor & Francis Group, 2019.

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37

Kosslyn, Stephen M., Michael L. Commons, Richard J. Herrnstein, and David B. Mumford. Behavioral Approaches to Pattern Recognition and Concept Formation: Quantitative Analyses of Behavior, Volume VIII. Taylor & Francis Group, 2019.

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38

Kosslyn, Stephen M., Michael L. Commons, Richard J. Herrnstein, and David B. Mumford. Behavioral Approaches to Pattern Recognition and Concept Formation: Quantitative Analyses of Behavior, Volume VIII. Taylor & Francis Group, 2019.

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39

Tominski, Christian, and Heidrun Schumann. Interactive Visual Data Analysis. A K Peters/CRC Press, 2020. http://dx.doi.org/10.1201/9781315152707.

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40

Schumann, Heidrun, and Christian Tominski. Interactive Visual Data Analysis. A K Peters, Limited, 2020.

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41

Schumann, Heidrun, and Christian Tominski. Interactive Visual Data Analysis. A K Peters, Limited, 2020.

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42

Schumann, Heidrun, and Christian Tominski. Interactive Visual Data Analysis. A K Peters, Limited, 2020.

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43

Jewitt, Carey, and Theo Van Leeuwen. Handbook of Visual Analysis. SAGE Publications, Limited, 2012.

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44

(Editor), Boris Kovalerchuk, and James Schwing (Editor), eds. Visual and Spatial Analysis. Springer, 2005.

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45

Jewitt, Carey, and Theo Van Leeuwen. Handbook of Visual Analysis. SAGE Publications, Incorporated, 2000.

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46

(Editor), Robert F. Erbacher, and Alex Pang (Editor), eds. Visual Data Exploration and Analysis 5 (Visual Data Exploration & Analysis V). SPIE-International Society for Optical Engine, 1998.

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47

Bloomberg visual guide to candlestick charting. Wiley, 2012.

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48

Machin, David, and Gill Abousnnouga. Visual Discourses of War. Taylor & Francis Group, 2023.

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49

Mitiche, Amar. Computational Analysis of Visual Motion. Springer, 2013.

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50

Tsuji, Saburo, and Fumiaki Tomita. Computer Analysis of Visual Textures. Springer, 2013.

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