Learning sparse face features: Application to Face Verification
P Buyssens, M Revenu - 2010 20th International Conference on …, 2010 - ieeexplore.ieee.org
We present a low resolution face recognition technique based on a Convolutional Neural
Network approach. The network is trained to reconstruct a reference per subject image. In …
Network approach. The network is trained to reconstruct a reference per subject image. In …
[PDF][PDF] Learning Sparse Face Features: Application to Face Verification
P Buyssens, M Revenu - projet.liris.cnrs.fr
We present a low resolution face recognition technique based on a Convolutional Neural
Network approach. The network is trained to reconstruct a reference per subject image. In …
Network approach. The network is trained to reconstruct a reference per subject image. In …
Learning Sparse Face Features: Application to Face Verification
P Buyssens, M Revenu - Proceedings of the 2010 20th International …, 2010 - dl.acm.org
We present a low resolution face recognition technique based on a Convolutional Neural
Network approach. The network is trained to reconstruct a reference per subject image. In …
Network approach. The network is trained to reconstruct a reference per subject image. In …
Learning Sparse Face Features: Application to Face Verification
P Buyssens, M Revenu - ICPR, 2010 - hal.science
We present a low resolution face recognition technique based on a Convolutional Neural
Network approach. The network is trained to reconstruct a reference per subject image. In …
Network approach. The network is trained to reconstruct a reference per subject image. In …
Learning Sparse Face Features: Application to Face Verification
P Buyssens, M Revenu - 2010 20th International Conference on Pattern … - infona.pl
We present a low resolution face recognition technique based on a Convolutional Neural
Network approach. The network is trained to reconstruct a reference per subject image. In …
Network approach. The network is trained to reconstruct a reference per subject image. In …
[PDF][PDF] Learning Sparse Face Features: Application to Face Verification
P Buyssens, M Revenu - researchgate.net
We present a low resolution face recognition technique based on a Convolutional Neural
Network approach. The network is trained to reconstruct a reference per subject image. In …
Network approach. The network is trained to reconstruct a reference per subject image. In …
[PDF][PDF] Learning Sparse Face Features: Application to Face Verification
P Buyssens, M Revenu - Citeseer
We present a low resolution face recognition technique based on a Convolutional Neural
Network approach. The network is trained to reconstruct a reference–per subject image. In …
Network approach. The network is trained to reconstruct a reference–per subject image. In …
[PDF][PDF] Learning Sparse Face Features: Application to Face Verification
P Buyssens, M Revenu - scholar.archive.org
We present a low resolution face recognition technique based on a Convolutional Neural
Network approach. The network is trained to reconstruct a reference–per subject image. In …
Network approach. The network is trained to reconstruct a reference–per subject image. In …
Learning Sparse Face Features: Application to Face Verification
P Buyssens, M Revenu - Pattern Recognition, International …, 2010 - computer.org
We present a low resolution face recognition technique based on a Convolutional Neural
Network approach. The network is trained to reconstruct a reference per subject image. In …
Network approach. The network is trained to reconstruct a reference per subject image. In …
[PDF][PDF] Learning Sparse Face Features: Application to Face Verification
P Buyssens, M Revenu - hal.science
We present a low resolution face recognition technique based on a Convolutional Neural
Network approach. The network is trained to reconstruct a reference–per subject image. In …
Network approach. The network is trained to reconstruct a reference–per subject image. In …