@inproceedings{509e5d0dccf94b4dbc21377640a3a321,
title = "Optimization of face relevance maps with total classification error minimization",
abstract = "This paper presents a concept of optimizing parameters used for solving image identification tasks developed during research aimed at improving recognition of human face images. Effectiveness of closed-set identification is measured in a form of Total Classification Error (TCE) which can be expressed as a function of parameters used for calculating similarity between samples. TCE can be minimized for a defined training set in order to obtain optimal values of the parameters. This method was implemented to optimize face relevance maps applied to improve the Eigenfaces method for human face recognition. Results of the experiments presented in this paper confirm effectiveness of the developed approach.",
author = "Michal Kawulok",
year = "2008",
doi = "10.1007/978-3-540-69812-8\_93",
language = "English",
isbn = "3540698116",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "935--944",
booktitle = "Image Analysis and Recognition - 5th International Conference, ICIAR 2008, Proceedings",
address = "Germany",
note = "5th International Conference on Image Analysis and Recognition, ICIAR 2008 ; Conference date: 25-06-2008 Through 27-06-2008",
}