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abstract

Determining the Appeal of an Image Using Machine Learning

Published: 18 April 2019 Publication History

Abstract

By using modern Machine Learning techniques it is possible to predict how appealing an image is to humans.

References

[1]
{n. d.}. https://www.flickr.com/services/api
[2]
L. Goode. 2018. How Google Pixel 3's Camera Works Wonders With Just One Rear Lens. https://www.wired.com/story/google-pixel-3-camera-features
[3]
Ujjwalkarn. 2017. An Intuitive Explanation of Convolutional Neural Networks. https://ujjwalkarn.me/2016/08/11/intuitive-explanation-convnets

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Published In

cover image ACM Conferences
ACMSE '19: Proceedings of the 2019 ACM Southeast Conference
April 2019
295 pages
ISBN:9781450362511
DOI:10.1145/3299815
  • Conference Chair:
  • Dan Lo,
  • Program Chair:
  • Donghyun Kim,
  • Publications Chair:
  • Eric Gamess
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 April 2019

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Author Tags

  1. Convolutional Neural Networks
  2. Datasets
  3. Image Classification
  4. Machine Learning
  5. Photography

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  • Abstract
  • Research
  • Refereed limited

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ACM SE '19
Sponsor:
ACM SE '19: 2019 ACM Southeast Conference
April 18 - 20, 2019
GA, Kennesaw, USA

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Overall Acceptance Rate 502 of 1,023 submissions, 49%

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