Authors | Title | Book
|
Chaohui Wang, Nikos Komodakis, Nikos Paragios | Markov Random Field
modeling, inference & learning in computer vision & image understanding:
A survey | Computer Vision and Image Understanding 117(11): 1610-1627
(2013) |
Yuri Boykov and Vladimir Kolmogorov | An Experimental Comparison of
Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision | IEEE
Transactions on Pattern Analysis and Machine Intelligence,
26(9):1124-1137 (2004) |
Yuri Boykov and Olga Veksler | Graph Cuts in Vision and Graphics: Theories and Applications | Handbook of Mathematical Models in Computer Vision, edited by Nikos Paragios, Yunmei Chen and Olivier Faugeras. Springer, 2006 |
Yuri Boykov, Olga Veksler and Ramin Zabih | Fast Approximate Energy
Minimization via Graph Cuts | IEEE Transactions on Pattern Analysis
and Machine Inteligence, 23(11): 1222-1239 (2001) |
Vladimir Kolmogorov | Convergent Tree-reweighted Message Passing for
Energy Minimization | IEEE Transactions on Pattern Analysis and
Machine Intelligence 28(10): 1568-1583 (2006) |
Vladimir Kolmogorov and Ramin Zabih | What Energy Functions can be
Minimized via Graph Cuts? | IEEE Transactions on Pattern Analysis and
Machine Inteligence, 26(2): 147-159 (2004) |
Nikos Komodakis, Georgios Tziritas, Nikos Paragios | Performance
vs computational efficiency for optimizing single and dynamic MRFs:
Setting the state of the art with primal-dual strategies | Computer
Vision and Image Understanding 112(1), 14-29 (2008) |
Nikos Komodakis, Nikos Paragios, Georgios Tziritas | MRF Energy Minimization and Beyond via Dual Decomposition | IEEE Transactions on Pattern Analysis Machine Intelligence 33(3): 531-552 (2011) |
Ben Taskar, Carlos Guestrin and Daphne Koller | Max-Margin Markov
Networks | Proceedings of Advances in Neural Information Processing
Systems: (2003) |
Ioannis Tsochantaridis, Thorsten Joachims, Thomas Hofmann and Yasmine
Altun | Large Margin Methods for Structured and Interdependent Output
Variables | Journal of Machine Learning Research, 6:1453-1484 (2005) |
Tomas Werner | Revisiting the Linear Programming Relaxation Approach to
Gibbs Energy Minimization and Weighted Constraint Satisfaction | IEEE
Transactions on Pattern Analysis and Machine Intelligence 32(8): 1474-1488 (2010) |