J. Autebert, J. Berstel, and L. Boasson, Context-Free Languages and Pushdown Automata, Handbook of Formal Languages, pp.111-174, 1997.
DOI : 10.1007/978-3-642-59136-5_3

URL : https://hal.archives-ouvertes.fr/hal-00620669

J. J. Dai, J. I. Lathrop, J. H. Lutz, and E. Mayordomo, Finite-state dimension, Theoretical Computer Science, vol.310, issue.1-3, pp.1-33, 2004.
DOI : 10.1016/S0304-3975(03)00244-5

D. Doty and J. Nichols, Pushdown dimension, Theoretical Computer Science, vol.381, issue.1-3, pp.105-123, 2007.
DOI : 10.1016/j.tcs.2007.04.005

URL : http://doi.org/10.1016/j.tcs.2007.04.005

S. Ginsburg and G. F. Rose, Preservation of languages by transducers, Information and Control, vol.9, issue.2, pp.153-176, 1966.
DOI : 10.1016/S0019-9958(66)90211-7

S. Ginsburg and G. F. Rose, A note on preservation of languages by transducers, Information and Control, vol.12, issue.5, pp.549-552, 1968.
DOI : 10.1016/S0019-9958(68)90648-7

S. Hariharan and P. Shankar, Evaluating the Role of Context in Syntax Directed Compression of XML Documents, Data Compression Conference (DCC'06), p.453, 2006.
DOI : 10.1109/DCC.2006.34

J. M. Hitchcock, Effective Fractal Dimension: Foundations and Applications, 2003.

J. I. Lathrop and M. J. Strauss, A universal upper bound on the performance of the Lempel-Ziv algorithm on maliciously-constructed data, Proceedings. Compression and Complexity of SEQUENCES 1997 (Cat. No.97TB100171), pp.123-135, 1998.
DOI : 10.1109/SEQUEN.1997.666909

C. League and K. Eng, Type-Based Compression of XML Data, 2007 Data Compression Conference (DCC'07), pp.272-282, 2007.
DOI : 10.1109/DCC.2007.79

A. Lempel and J. Ziv, Compression of individual sequences via variable rate coding, IEEE Transaction on Information Theory, vol.24, pp.530-536, 1978.

H. R. Lewis and C. H. Papadimitriou, Elements of the Theory of Computation, 1997.

M. López-valdés and E. Mayordomo, Dimension Is Compression, Proceedings of the 30th International Symposium on Mathematical Foundations of Computer Science, pp.676-685, 2005.
DOI : 10.1007/11549345_58

E. Mayordomo, Effective Fractal Dimension in Algorithmic Information Theory, New Computational Paradigms: Changing Conceptions of What is Computable, pp.259-285, 2008.
DOI : 10.1007/978-0-387-68546-5_12

D. Sculley and C. E. Brodley, Compression and Machine Learning: A New Perspective on Feature Space Vectors, Data Compression Conference (DCC'06), pp.332-341, 2006.
DOI : 10.1109/DCC.2006.13