Modelling Image Complexity by Independent Component Analysis, with Application to Content-Based Image Retrieval-Reference-Cited by-同舟云学术

Modelling Image Complexity by Independent Component Analysis, with Application to Content-Based Image Retrieval

Published:2009 Issue: Volume: Page:704-714
ISSN:0302-9743
Container-title:Artificial Neural Networks – ICANN 2009
language:
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Author:

Perkiö Jukka,Hyvärinen Aapo

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-04277-5_71

Reference8 articles.

1. Cerra, D., Mallet, A., Gueguen, L., Datcu, M.: Complexity based analysis of earth observation imagery: an assessment. In: ESA-EUSC 2008: Image Information Mining: pursuing automation of geospatial intelligence for environment and security (March 2008)

2. Cilibrasi, R., Vitányi, P.: Clustering by compression. IEEE Transactions in Information Theory 51, 1523–1545 (2005)

3. Grunwald, P., Vitanyi, P.: Shannon information and kolmogorov complexity (October 2004), http://arxiv.org/abs/cs.IT/0410002

4. Hyvärinen, A., Hurri, J., Hoyer, P.O.: Natural Image Statistics. Springer, Heidelberg (2009)

5. Hyvärinen, A., Karhunen, J., Oja, E.: Independent Component Analysis. Wiley Interscience, Hoboken (2001)

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