Face recognition with quantum associative networks using overcomplete gabor wavelet
Gabor wavelet is considered the best mathematical descriptor for receptive fields in the striate cortex. Besides, as a basis function, it is suitable to sparsely represent natural scenes due to its property in maximizing information. It is argued that Gabor-like receptive fields are emerged by spars...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Published: |
2010
|
| Subjects: | |
| Online Access: | http://eprints.um.edu.my/5192/ http://download.springer.com/static/pdf/312/art%253A10.1007%252Fs12559-010-9047-2.pdf?auth66=1352708422_ccb860b526261a6a6959670c2c854c79&ext=.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Gabor wavelet is considered the best mathematical descriptor for receptive fields in the striate cortex. Besides, as a basis function, it is suitable to sparsely represent natural scenes due to its property in maximizing information. It is argued that Gabor-like receptive fields are emerged by sparseness-enforcing or infomax method. In this paper, we incorporate Gabor overcomplete representation into quantum holography for image recognition tasks, with suggestions in improvements through iterative method for reconstruction. |
|---|