Decision pyramid classifier for face recognition under complex variations using single sample per person
T Pei, L Zhang, B Wang, F Li, Z Zhang - Pattern Recognition, 2017 - Elsevier
The single sample per person (SSPP) problem is a great challenge for real-world face
recognition systems. In an SSPP scenario, there is always a large gap between a normal …
recognition systems. In an SSPP scenario, there is always a large gap between a normal …
Decision pyramid classifier for face recognition under complex variations using single sample per person
T Pei, L Zhang, B Wang, F Li, Z Zhang - Pattern Recognition, 2017 - ui.adsabs.harvard.edu
The single sample per person (SSPP) problem is a great challenge for real-world face
recognition systems. In an SSPP scenario, there is always a large gap between a normal …
recognition systems. In an SSPP scenario, there is always a large gap between a normal …
Decision pyramid classifier for face recognition under complex variations using single sample per person
T Pei, L Zhang, B Wang, F Li, Z Zhang - Pattern Recognition, 2017 - dl.acm.org
The single sample per person (SSPP) problem is a great challenge for real-world face
recognition systems. In an SSPP scenario, there is always a large gap between a normal …
recognition systems. In an SSPP scenario, there is always a large gap between a normal …
Decision pyramid classifier for face recognition under complex variations using single sample per person
T Pei, L Zhang, B Wang, F Li, Z Zhang - Pattern Recognition, 2017 - infona.pl
The single sample per person (SSPP) problem is a great challenge for real-world face
recognition systems. In an SSPP scenario, there is always a large gap between a normal …
recognition systems. In an SSPP scenario, there is always a large gap between a normal …