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Publication Date: 2014

Author

Aminoff, Elissa M., contributor.

(1)

Bachmann, Talis.

(1)

Bar, Moshe (Neuroscientist), editor.

(1)

Bender, John, author.

(1)

Bergstrom, Jennifer Romano, author.

(1)

Bridgeman, Bruce.

(1)

Dosher, Barbara, 1951-

(1)

Dunkerley, Meg, editor.

(1)

Francis, Gregory.

(1)

Friemert, Veit, translator.

(1)

Hau, Darren, author.

(1)

Hawkins, Harriet.

(1)

Kveraga, Kestutis, editor.

(1)

Lu, Zhong-Lin.

(1)

Marrinan, Michael, author.

(1)

Mather, George

(1)

Prinz, Wolfgang, 1942-

(1)

Schall, Andrew Jonathan, author.

(1)

Scherer, Heather, project director.

(1)

Studholme, Alan, designer.

(1)

The University of Manchester (United Kingdom). degree granting institution.

(1)

Wilde, Judith, author.

(1)

Wilde, Richard, author.

(1)

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Art, Modern -- History.

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Geographical perception.

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Görme algısı.

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Handelen.

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Human-computer interaction.

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Scientific literature -- History.

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User interfaces (Computer systems)

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Visual masking : studying perception, attention, and consciousness

Bachmann, Talis.

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Visual masking : studying perception, attention, and consciousness / Bachmann, Talis.

The process : a new foundation in art and design

Wilde, Judith, author.

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Visual perception.

Scene vision : making sense of what we see

Kveraga, Kestutis, editor.

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Visual perception.

The psychology of visual art : eye, brain and art

Mather, George

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Visual perception.

Visual psychophysics : from laboratory to theory

Lu, Zhong-Lin.

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Visual perception.

For creative geographies : geography, visual arts and the making of worlds

Hawkins, Harriet.

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Visual perception.

Eye tracking in user experience design

Bergstrom, Jennifer Romano, author.

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Visual perception.

Kultur des Diagramms

Bender, John, author.

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Visual perception.

Handbook of perception and action. [Volume 1]

Prinz, Wolfgang, 1942-

ScienceDirect http://www.sciencedirect.com/science/book/9780125161619
ScienceDirect http://www.sciencedirect.com/science/publication?issn=18745822&volume=1

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Perception. -- W.X. Schneider, Neural Networks and Visual Information Processing. -- H. Deubel, Visual

Learning Hierarchical Speech Representations Using Deep Convolutional Neural Networks

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Learning Hierarchical Speech Representations Using Deep Convolutional Neural Networks

Hau, Darren, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10820103

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for visual perception tasks. Key to the success of deep learning is its ability to learn hierarchical

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