Eigenfeatures as intermediate-level representations: The case for PCA models

Behavioral and Brain Sciences 21 (1):17-18 (1998)
  Copy   BIBTEX

Abstract

Eigenfeatures are created by the principal component approach (PCA) used on objects described by a low-level code (i.e., pixels, Gabor jets). We suggest that eigenfeatures act like the flexible features described by Schyns et al. They are particularly suited for face processing and give rise to class-specific effects such as the other-race effect. The PCA approach can be modified to accommodate top-down constraints.

Other Versions

No versions found

Links

PhilArchive

    This entry is not archived by us. If you are the author and have permission from the publisher, we recommend that you archive it. Many publishers automatically grant permission to authors to archive pre-prints. By uploading a copy of your work, you will enable us to better index it, making it easier to find.

    Upload a copy of this work     Papers currently archived: 106,314

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Bottoms-up! A refreshing change in models.Charles T. Snowdon - 2000 - Behavioral and Brain Sciences 23 (2):266-267.
Francescotti on fission.Jens Johansson - 2009 - Pacific Philosophical Quarterly 90 (4):476-481.

Analytics

Added to PP
2009-01-28

Downloads
103 (#219,228)

6 months
11 (#332,132)

Historical graph of downloads
How can I increase my downloads?

References found in this work

No references found.

Add more references