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» Solving Sparse Linear Constraints
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ICCV
2007
IEEE
16 years 5 days ago
Applications of parametric maxflow in computer vision
The maximum flow algorithm for minimizing energy functions of binary variables has become a standard tool in computer vision. In many cases, unary costs of the energy depend linea...
Vladimir Kolmogorov, Yuri Boykov, Carsten Rother
78
Voted
ECCV
2006
Springer
16 years 3 days ago
Optimal Multi-frame Correspondence with Assignment Tensors
Abstract. Establishing correspondence between features of a set of images has been a long-standing issue amongst the computer vision community. We propose a method that solves the ...
R. Oliveira, R. Ferreira, J. P. Costeira
86
Voted
ICML
2007
IEEE
15 years 11 months ago
What is decreased by the max-sum arc consistency algorithm?
Inference tasks in Markov random fields (MRFs) are closely related to the constraint satisfaction problem (CSP) and its soft generalizations. In particular, MAP inference in MRF i...
Tomás Werner
153
Voted
ICPR
2010
IEEE
15 years 5 months ago
A Unified Probabilistic Approach to Feature Matching and Object Segmentation
This paper deals with feature matching and segmentation of common objects in a pair of images, simultaneously. For the feature matching problem, the matching likelihoods of all fea...
Tae Hoon Kim (Seoul National University), Kyoung M...
82
Voted
ATAL
2009
Springer
15 years 4 months ago
Constraint-based dynamic programming for decentralized POMDPs with structured interactions
Decentralized partially observable MDPs (DEC-POMDPs) provide a rich framework for modeling decision making by a team of agents. Despite rapid progress in this area, the limited sc...
Akshat Kumar, Shlomo Zilberstein