Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Street-Frontage-Net: urban image classification using deep convolutional neural networks

Tools
- Tools
+ Tools

Law, Stephen, Seresinhe, Chanuki Illushka, Shen, Yao and Gutiérrez-Roig, Mario (2018) Street-Frontage-Net: urban image classification using deep convolutional neural networks. International Journal of Geographical Information Science . pp. 1-27. doi:10.1080/13658816.2018.1555832 ISSN 1365-8816.

Research output not available from this repository.

Request-a-Copy directly from author or use local Library Get it For Me service.

Official URL: http://dx.doi.org/10.1080/13658816.2018.1555832

Request Changes to record.

Item Type: Journal Article
Divisions: Faculty of Social Sciences > Warwick Business School
Journal or Publication Title: International Journal of Geographical Information Science
ISSN: 1365-8816
Official Date: 26 December 2018
Dates:
DateEvent
26 December 2018Published
Page Range: pp. 1-27
DOI: 10.1080/13658816.2018.1555832
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item
twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us