Deconstructing Representation

Rosemary Lee

Deconstructing Representation

Rosemary Lee (Producer)

Research output: Non-textual form › 2D/3D (psysical products) › Research

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.

Original language	English
Publication date	8 Nov 2019
Publication status	Published - 8 Nov 2019
Event	Perpetual Interpreter - LOKALE, Copenhagen, Denmark Duration: 8 Nov 2019 → 24 Nov 2019 http://interpreter.works

Exhibition

Exhibition	Perpetual Interpreter
Location	LOKALE
Country/Territory	Denmark
City	Copenhagen
Period	08/11/2019 → 24/11/2019
Internet address	http://interpreter.works

Keywords

Machine Learning
Visualisation
Generative Adversarial Network
Computational Representations
Visual Affinities

Access to Document

http://interpreter.worksLicence: CC BY-NC
http://rosemary-lee.com/Deconstructing-RepresentationLicence: CC BY-NC

Cite this

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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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T1 - Deconstructing Representation

A2 - Lee, Rosemary

PY - 2019/11/8

Y1 - 2019/11/8

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

Exhibition

Keywords

Access to Document

Fingerprint

Cite this