@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},
	biburl = {http://www.bibsonomy.org/bibtex/2309c102bfa886209becf6b9771f34d49/brazovayeye},
	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, }
}