@inproceedings{bd563f2e89294a6986e7a811a3a909d3,
title = "A novel regularized fisher discriminant method for face recognition based on subspace and rank lifting scheme",
abstract = "The null space N(St) of total scatter matrix St contains no useful information for pattern classification. So, discarding the null space N(St) results in dimensionality reduction without loss discriminant power. Combining this subspace technique with proposed rank lifting scheme, a new regularized Fisher discriminant (SL-RFD) method is developed to deal with the small sample size (S3) problem in face recognition. Two public available databases, namely FERET and CMU PIE databases, are exploited to evaluate the proposed algorithm. Comparing with existing LDA-based methods in solving the S3 problem, the proposed SL-RFD method gives the best performance.",
keywords = "Face recognition, Linear discriminant analysis, Null space, Regularized method, Small sample size problem",
author = "Chen, {Wen Sheng} and YUEN, {Pong Chi} and Jian Huang and Jianhuang Lai and Jianliang Tang",
note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 1st International Conference on ffective Computing and Intelligent Interaction, ACII 2005 ; Conference date: 22-10-2005 Through 24-10-2005",
year = "2005",
doi = "10.1007/11573548_20",
language = "English",
isbn = "3540296212",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "152--159",
booktitle = "Affective Computing and Intelligent Interaction - First International Conference, ACII 2005, Proceedings",
address = "Germany",
}