Javascript must be enabled for the correct page display

Enhancing CNN-based Classification through Effective Utilization of the COSFIRE Algorithm as a Keypoint-based Feature Detection Step

Antonisse, Joey (2023) Enhancing CNN-based Classification through Effective Utilization of the COSFIRE Algorithm as a Keypoint-based Feature Detection Step. Master's Thesis / Essay, Computing Science.

[img] Text
mCS_2023_AntonisseJP.pdf
Restricted to Registered users only

Download (1MB)

Abstract

De begeleider en/of auteur heeft geen toestemming gegeven tot het openbaar maken van de scriptie. The supervisor and/or the author did not authorize public publication of the thesis.

Item Type: Thesis (Master's Thesis / Essay)
Supervisor name: Azzopardi, G.
Degree programme: Computing Science
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 14 Aug 2023 11:20
Last Modified: 14 Aug 2023 11:20
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/31164

Actions (login required)

View Item View Item