Selecting the best optimal feature correspondence with deep learning.

Kamalkhan Artykbayev; Askhat Temir; Muhammed Demirci

Selecting the best optimal feature correspondence with deep learning.

Kamalkhan Artykbayev, Askhat Temir, Muhammed Demirci

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	16th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2019)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Publication status	Published - Nov 2019

Cite this

Selecting the best optimal feature correspondence with deep learning. / Artykbayev, Kamalkhan; Temir, Askhat; Demirci, Muhammed.

16th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2019). Institute of Electrical and Electronics Engineers Inc., 2019.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

@inproceedings{f688d95f1b984ab2873621bcbfcdd8f3,

title = "Selecting the best optimal feature correspondence with deep learning.",

author = "Kamalkhan Artykbayev and Askhat Temir and Muhammed Demirci",

year = "2019",

month = nov,

language = "English",

booktitle = "16th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2019)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

}