Deconstructing Representation

Rosemary Lee

Deconstructing Representation

Rosemary Lee (Producent)

Publikation: Bidrag der ikke har en tekstform › 2D/3D (Fysisk produkt) › Forskning

Abstract

In Deconstructing Representation machine learning is used as an explorative approach to visualise patterns within a dataset of images. Compiling a dataset of Instagram images saved by the artist over time and training a generative adversarial network (GAN) to produce images reminiscent of that dataset, the resulting images show the gradual buildup and breakdown of computational representations and visual affinities.

Originalsprog	Engelsk
Publikationsdato	8 nov. 2019
Status	Udgivet - 8 nov. 2019
Begivenhed	Perpetual Interpreter - LOKALE, Copenhagen, Danmark Varighed: 8 nov. 2019 → 24 nov. 2019 http://interpreter.works

Udstilling

Udstilling	Perpetual Interpreter
Lokation	LOKALE
Land/Område	Danmark
By	Copenhagen
Periode	08/11/2019 → 24/11/2019
Internetadresse	http://interpreter.works

Emneord

Machine Learning
Visualisation
Generative Adversarial Network
Computational Representations
Visual Affinities

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http://interpreter.worksLicens: CC BY-NC
http://rosemary-lee.com/Deconstructing-RepresentationLicens: CC BY-NC

Citationsformater

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title = "Deconstructing Representation",

abstract = "In Deconstructing Representation machine learning is used as an explorative approach to visualise patterns within a dataset of images. Compiling a dataset of Instagram images saved by the artist over time and training a generative adversarial network (GAN) to produce images reminiscent of that dataset, the resulting images show the gradual buildup and breakdown of computational representations and visual affinities.",

keywords = "Machine Learning, , Visualisation, , Generative Adversarial Network, , Computational Representations, , Visual Affinities, Machine Learning, , Visualisation, , Generative Adversarial Network, , Computational Representations, , Visual Affinities",

author = "Rosemary Lee",

year = "2019",

month = nov,

day = "8",

language = "English",

publisher = "LOKALE",

note = "Perpetual Interpreter ; Conference date: 08-11-2019 Through 24-11-2019",

url = "http://interpreter.works",

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N2 - In Deconstructing Representation machine learning is used as an explorative approach to visualise patterns within a dataset of images. Compiling a dataset of Instagram images saved by the artist over time and training a generative adversarial network (GAN) to produce images reminiscent of that dataset, the resulting images show the gradual buildup and breakdown of computational representations and visual affinities.

AB - In Deconstructing Representation machine learning is used as an explorative approach to visualise patterns within a dataset of images. Compiling a dataset of Instagram images saved by the artist over time and training a generative adversarial network (GAN) to produce images reminiscent of that dataset, the resulting images show the gradual buildup and breakdown of computational representations and visual affinities.

KW - Machine Learning

KW - Visualisation

KW - Generative Adversarial Network

KW - Computational Representations

KW - Visual Affinities

KW - Machine Learning

KW - Visualisation

KW - Generative Adversarial Network

KW - Computational Representations

KW - Visual Affinities

M3 - 2D/3D (psysical products)

PB - LOKALE

T2 - Perpetual Interpreter

Y2 - 8 November 2019 through 24 November 2019

ER -

Deconstructing Representation

Abstract

Udstilling

Emneord

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Fingeraftryk

Citationsformater