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A data-driven approach to feature space selection for robust micro-endoscopic image reconstruction

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Paper Details

Authors:
Submitted On:
7 September 2017 - 9:06am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Pascal Bourdon
Paper Code:
1699
Document Year:
2017
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Document Files

Bourdonp_ICIP2017_2017_08_28.pdf

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[1] , "A data-driven approach to feature space selection for robust micro-endoscopic image reconstruction", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1853. Accessed: Sep. 19, 2017.
@article{1853-17,
url = {http://sigport.org/1853},
author = { },
publisher = {IEEE SigPort},
title = {A data-driven approach to feature space selection for robust micro-endoscopic image reconstruction},
year = {2017} }
TY - EJOUR
T1 - A data-driven approach to feature space selection for robust micro-endoscopic image reconstruction
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1853
ER -
. (2017). A data-driven approach to feature space selection for robust micro-endoscopic image reconstruction. IEEE SigPort. http://sigport.org/1853
, 2017. A data-driven approach to feature space selection for robust micro-endoscopic image reconstruction. Available at: http://sigport.org/1853.
. (2017). "A data-driven approach to feature space selection for robust micro-endoscopic image reconstruction." Web.
1. . A data-driven approach to feature space selection for robust micro-endoscopic image reconstruction [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1853