Machine Learning for Image Classification and Clustering Using a Universal Distance Measure

Author:

Chester Uzi,Ratsaby Joel

Publisher

Springer Berlin Heidelberg

Reference10 articles.

1. Chester, U., Ratsaby, J.: Universal distance measure for images. In: 2012 IEEE 27th Convention of Electrical Electronics Engineers in Israel (IEEEI), pp. 1–4 (November 2012)

2. Canty, M.J.: Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Envi/Idl. CRC/Taylor & Francis (2007)

3. Lillesand, T.M., Kiefer, R.W., Chipman, J.W.: Remote sensing and image interpretation. John Wiley & Sons (2008)

4. Sayood, K., Otu, H.H.: A new sequence distance measure for phylogenetic tree construction. Bioinformatics 19(16), 2122–2130 (2003)

5. Ziv, J., Lempel, A.: On the complexity of finite sequences. IEEE Transactions on Information Theory 22(3), 75–81 (1976)

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