Bibliografie

D. Forsyth, J. Ponce: Computer Vision, A Modern Approach, Prentice Hall, 2011.

C. Bishop: Pattern Recognition and Machine Learning, Springer, 2007.

D. Koller, N. Friedman: Probabilistic Graphical Models. Principles and Techniques, MIT Press, 2009.

L. Wasserman: All of Non-parametric Statistics, Springer, 2007.

J. Ponce, M. Hebert, C. Schmid, A. Zisserman: Toward Category-level Object Recognition, Springer, 2006.

C. Sminchisescu, B. Triggs: Building Roadmaps of Local Minima and Transitions of Visual Models, International Journal of Computer Vision, 2006.

L. Bo, C. Sminchisescu: Twin Gaussian Processes for Structured Prediction, International Journal of Computer Vision, 2010.

C. Sminchisescu, A. Kanaujia, D. Metaxas: Conditional Models for Contextual Human Motion Recognition, Computer Vision and Image Understanding, 2006.

L. Xu, J. Jia, Y. Matsuchita: Motion Detail Preserving Optical Flow Estimation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012.

D. Fleet, Y. Weiss: Optical Flow Estimation, CIFAR, 2009



V. G. Levich,   Physicochemical hydrodynamics, Prentice Hall, Englewood Cliffs, N.J., 1962, in special capitolele VII si VIII.

Teodor Oroveanu, Scurgerea fluidelor multifazice prin medii
  poroase, Ed. Acad. RSR, 1966, in special capitolele III, IV, V.

Horia Ene si Sorin Gogonea, Probleme in teoria filtratiei,
  Ed. Acad, RSR, 1973, capitolul  I.

Jacob Bear, Dynamics of Fluids in Porous Media, Dover Publications,
  New York, 1988, in special capitolele I, II, IX, XI.

Alan Hunt, Percolation Theory for Flow in Porous Media,
  Lect. Notes Phys. No. 674, 2005, capitolul  I.



Peter G. Hinman, Fundamentals of Mathematical Logic, A K Peters/CRC
Press, 2005

Saunders MacLane, Ieke Moerdijk, Sheaves in Geometry and Logic: A First
Introduction to Topos Theory, Springer, 1994