S LAWRENCE, CL GILES, AHC TSOI… - IEEE transactions on …, 1997 - pascal-francis.inist.fr
Face recognition : A convolutional neural-network approach CNRS Inist Pascal-Francis CNRS Pascal and Francis Bibliographic Databases Simple search Advanced search Search by …
S Lawrence, CL Giles, AC Tsoi, AD Back - scholar.archive.org
Faces represent complex, multidimensional, meaningful visual stimuli and developing a computational model for face recognition is difficult [43]. We present a hybrid neural network …
S Lawrence, CL Giles, AC Tsoi, AD Back - cs.ait.ac.th
Faces represent complex, multidimensional, meaningful visual stimuli and developing a computational model for face recognition is difficult [43]. We present a hybrid neural network …
S Lawrence, CL Giles, AC Tsoi, AD Back - cse.fau.edu
Faces represent complex, multidimensional, meaningful visual stimuli and developing a computational model for face recognition is difficult [43]. We present a hybrid neural network …
S Lawrence, CL Giles, AC Tsoi… - IEEE TRANSACTIONS …, 1997 - clgiles.ist.psu.edu
Faces represent complex multidimensional mean-ingful visual stimuli and developing a computational model for face recognition is difficult. We present a hybrid neural-network …
S Lawrence, CL Giles, AC Tsoi… - IEEE transactions on …, 1997 - pubmed.ncbi.nlm.nih.gov
We present a hybrid neural-network for human face recognition which compares favourably with other methods. The system combines local image sampling, a self-organizing map …
S Lawrence, CL Giles, AC Tsoi, AD Back - researchgate.net
Faces represent complex, multidimensional, meaningful visual stimuli and developing a computational model for face recognition is difficult [43]. We present a hybrid neural network …
S Lawrence, CL Giles, AC Tsoi… - IEEE Transactions on …, 1997 - europepmc.org
We present a hybrid neural-network for human face recognition which compares favourably with other methods. The system combines local image sampling, a self-organizing map …
S Lawrence, CL Giles, AC Tsoi, AD Back - cs.ait.ac.th
Faces represent complex, multidimensional, meaningful visual stimuli and developing a computational model for face recognition is difficult [43]. We present a hybrid neural network …