Dual neighborhood thresholding patterns based on directional sampling: Effective face representation on mixed face recognition dataset
Knowledge and Information Systems, 2023 - Springer
The evaluation of face recognition algorithms relies on the diversity of the challenges
simulated on the adopted benchmarks. The main face recognition challenges cover the …
simulated on the adopted benchmarks. The main face recognition challenges cover the …
Dual neighborhood thresholding patterns based on directional sampling: Effective face representation on mixed face recognition dataset.
M Kas, Y El-merabet, Y Ruichek… - Knowledge & …, 2023 - search.ebscohost.com
The evaluation of face recognition algorithms relies on the diversity of the challenges
simulated on the adopted benchmarks. The main face recognition challenges cover the …
simulated on the adopted benchmarks. The main face recognition challenges cover the …
Dual neighborhood thresholding patterns based on directional sampling: Effective face representation on mixed face recognition dataset
M Kas, Y El-merabet, Y Ruichek… - … and Information Systems, 2023 - dl.acm.org
The evaluation of face recognition algorithms relies on the diversity of the challenges
simulated on the adopted benchmarks. The main face recognition challenges cover the …
simulated on the adopted benchmarks. The main face recognition challenges cover the …
Dual neighborhood thresholding patterns based on directional sampling
M Kas, Y El-merabet, Y Ruichek… - Knowledge and …, 2023 - search.proquest.com
The evaluation of face recognition algorithms relies on the diversity of the challenges
simulated on the adopted benchmarks. The main face recognition challenges cover the …
simulated on the adopted benchmarks. The main face recognition challenges cover the …