A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Joint discriminative dimensionality reduction and dictionary learning for face recognition
2013
Pattern Recognition
In linear representation based face recognition (FR), it is expected that a discriminative dictionary can be learned from the training samples so that the query sample can be better represented for classification. On the other hand, dimensionality reduction is also an important issue for FR. It can not only reduce significantly the storage space of face images, but also enhance the discrimination of face feature. Existing methods mostly perform dimensionality reduction and dictionary learning
doi:10.1016/j.patcog.2013.01.016
fatcat:3cui3jgf6jecnoisz7qvfzqz6q