@inproceedings{526f0bd38c3a473c97364e539e2c4344,
title = "The efficiency of feature feedback using R-LDA with application to portable E-Nose system",
abstract = "In this paper, we improve the performance of Feature Feedback and present its application for vapor classification in a portable E-Nose system. Feature Feedback is a preprocessing method which detects and removes unimportant information from input data so that classification performance is improved. In our original Feature Feedback algorithm, PCA is used before LDA in order to avoid the small sample size (SSS) problem but it is said that this may cause loss of significant discriminant information for classification. To overcome this, in the proposed method, we improve Feature Feedback using regularized Fisher's separability criterion to extract the features and apply it to E-Nose system. The experimental result shows that the proposed method works well.",
keywords = "discriminant feature, e-nose system, feature feedback, vapor classification",
author = "Truong, \{Lang Bach\} and Choi, \{Sang Il\} and Yoonseok Yang and Lee, \{Young Dae\} and Jeong, \{Gu Min\}",
year = "2011",
doi = "10.1007/978-3-642-27204-2\_38",
language = "English",
isbn = "9783642272035",
series = "Communications in Computer and Information Science",
number = "PART 1",
pages = "316--323",
booktitle = "Multimedia, Computer Graphics and Broadcasting - Int. Conf. MulGraB 2011, Held as Part of the Future Generation Information Technology Conf. FGIT 2011, in Conjunction with GDC 2011, Proc.",
edition = "PART 1",
note = "2011 International Conference on Multimedia, Computer Graphics and Broadcasting, MulGraB 2011, Held as Part of the 3rd International Mega-Conference on Future-Generation Information Technology, FGIT 2011, in Conjunction with GDC 2011 ; Conference date: 08-12-2011 Through 10-12-2011",
}