@inproceedings{loizides:2001:wsc6,
title = {Measuring Facial Emotional Expressions Using Genetic
Programming},
author = {A. Loizides and M. Slater and W. B. Langdon},
booktitle = {Soft Computing and Industry Recent Applications},
editor = {Rajkumar Roy and Mario K{\"o}ppen and Seppo Ovaska and Takeshi Furuhashi and Frank Hoffmann},
month = {10--24 September},
note = {Published 2002},
pages = {545--554},
publisher = {Springer-Verlag},
url = {http://citeseer.ist.psu.edu/474911.html},
year = {2001},
abstract = {Genetic Programming techniques can be used to produce
regression equations that quantify emotional
expressions on a facial model. The formulae give
emotional scores based on the position of 25
automatically generated {"}landmarks{"} on the face.
The method shown here is an integrated part of a system
that maps multidimensional data sets to naturalistic
visual structures such as a face},
size = {5 pages}, isbn = {1-85233-539-4}, notes = {WSC6
http://www.springer.de/cgi/svcat/search_book.pl?isbn=1-85233-539-4},
keywords = {algorithms, data genetic programming, regression symbolic visualisation, }
}
::