Lin Han, Edwin R. Hancock, Richard C. Wilson. An Information Theoretic Approach to Learning Generative Graph Prototypes. In Marcello Pelillo, Edwin R. Hancock, editors, Similarity-Based Pattern Recognition - First International Workshop, SIMBAD 2011, Venice, Italy, September 28-30, 2011. Proceedings. Volume 7005 of Lecture Notes in Computer Science, pages 133-148, Springer, 2011. [doi]
@inproceedings{HanHW11-2,
title = {An Information Theoretic Approach to Learning Generative Graph Prototypes},
author = {Lin Han and Edwin R. Hancock and Richard C. Wilson},
year = {2011},
doi = {10.1007/978-3-642-24471-1_10},
url = {http://dx.doi.org/10.1007/978-3-642-24471-1_10},
researchr = {https://researchr.org/publication/HanHW11-2},
cites = {0},
citedby = {0},
pages = {133-148},
booktitle = {Similarity-Based Pattern Recognition - First International Workshop, SIMBAD 2011, Venice, Italy, September 28-30, 2011. Proceedings},
editor = {Marcello Pelillo and Edwin R. Hancock},
volume = {7005},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-642-24470-4},
}