@inproceedings{f3e1c07f0df84ea8b16c995e24e62faf,
title = "A novel supervised dimensionality reduction algorithm for online image recognition",
abstract = "Image recognition on streaming data is one of the most challenging topics in Image and Video Technology and incremental dimensionality reduction algorithms play a key role in online image recognition. In this paper, we present a novel supervised dimensionality reduction algorithm-Incremental Weighted Karhunen-Lo{\`e}ve expansion based on the Between-class scatter matrix (IWKLB) for image recognition on streaming data. In comparison with Incremental PCA, IWKLB is more effective in terms of recognition rate. In comparison with Incremental LDA, it is free of small sample size problems and can directly be applied to high-dimensional image spaces with high efficiency. Experimental results conducted on AR, one benchmark face image database, demonstrate that IWKLB is more effective than IPCA and ILDA.",
keywords = "Dimensionality reduction, Image recognition, Incremental algorithm, Streaming data, Supervised learning",
author = "Fengxi Song and Dapeng Zhang and Qinglong Chen and Jingyu Yang",
year = "2006",
month = dec,
day = "1",
doi = "10.1007/11949534-20",
language = "English",
isbn = "354068297X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "198--207",
booktitle = "Advances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings",
note = "1st Pacific Rim Symposium on Image and Video Technology, PSIVT 2006 ; Conference date: 10-12-2006 Through 13-12-2006",
}