A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Partial face recognition: A sparse representation-based approach
2016
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Performance limit is analyzed based on exact recovery. • Our method is robust especially in the case of severe information missing. Data Model Assume that ∃ , , || || is sparse such that ( is some noise process and ∞) and Λ is the observation set. We also assume that , Λ, can be obtained from some algorithms if unknown.
doi:10.1109/icassp.2016.7472105
dblp:conf/icassp/LiuTC16
fatcat:ehutfn2b7zdohpepyduqxsrjtm