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
º
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.
º
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