Automatically assigned DDC number: 00632

Manually assigned DDC number: 006312

Number of references: 4

Title: More About the Difference Between Men and Women: Evidence From Linear Neural Networks and the Principal-Component Approach

Author:

Author:

Author:

Subject: Alice J O'toole,Dominique Valentin,Betty Edelman More About the Difference Between Men and Women: Evidence From Linear Neural Networks and the Principal-Component Approach

Description: . The ability of a statistical/neural network to classify faces by sex by means of a pixelbased representation has not been fully investigated. Simulations using pixel-based codes have reported sex classification results that are less impressive than those reported for measurement-based codes. In no case, however, have the reported pixel-based simulations been optimized for the task of classifying faces by sex. A serie of simulations is described in which four network models were applied to the same pixel-based face code. These simulations involved either a radial basis function network or a perceptron as a classifier, preceded or not by a preprocessing step of eigendecomposition. It is shown that performance comparable to that of the measurement-based models can be achieved with pixel-based input (90%) when the data are preprocessed. The effect of the eigendecomposition preprocessing of the faces is then compared with spatial frequency analysis of face images and analyzed in terms of ...

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1995-11-06

Pubyear: 1995

Format: ps

Identifier: http://citeseer.ist.psu.edu/142337.html

Source: http://wwwpub.utdallas.edu/~herve/abdi.perception.ps

Language: en

Relation:

Relation:

Relation:

Relation:

Rights: unrestricted

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