Mean-Field Theory and Its Applications In Computer Vision4 1.
Solving Markov Random Fields using Second Order Cone Programming Relaxations M. Pawan Kumar Philip Torr Andrew Zisserman.
An Analysis of Convex Relaxations M. Pawan Kumar Vladimir Kolmogorov Philip Torr for MAP Estimation.
Overlapping correlation clustering
Urban 3D Semantic Modelling Using Stereo Vision, ICRA 2013
Image Registration based on a generalized SSI metric
Autocad Civil 3d
Inapproximability of MAX-CUT Khot,Kindler,Mossel and O ’ Donnell Moshe Ben Nehemia June 05.
The Fudan-UIUC participation in the BioASQ Challenge Task2a: The Antinomyra System Ke Liu 1, Junqiu Wu 2, Shengwen Peng 1,Chengxiang Zhai 3, Shanfeng Zhu.
Page 1 LAND COVER GEOSTATISTICAL CLASSIFICATION FOR REMOTE SENSING Kęstutis Dučinskas, Lijana Stabingiene and Giedrius Stabingis Department of Statistics,
Efficiently Solving Convex Relaxations M. Pawan Kumar University of Oxford for MAP Estimation Philip Torr Oxford Brookes University.
Lecture 2l
