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167
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CVPR
2011
IEEE
14 years 11 months ago
Multi-Level Inference by Relaxed Dual Decomposition for Human Pose Segmentation
Combining information from the higher level and the lower level has long been recognized as an essential component in holistic image understanding. However, an efficient inferenc...
Huayan Wang, Daphne Koller
132
Voted

Publication
253views
15 years 19 days ago
Multisensory Oddity Detection as Bayesian Inference
A key goal for the perceptual system is to optimally combine information from all the senses that may be available in order to develop the most accurate and unified picture possi...
Timothy Hospedales and Sethu Vijayakumar
113
Voted
SIMULATION
2002
118views more  SIMULATION 2002»
15 years 2 months ago
Simulation of Tactical Communications Systems by Inferring Detailed Data from the Joint Theater-Level Computer-Aided Exercises
- In this paper, a new scheme for the simulation of tactical communications systems is introduced where the mobility, call and availability patterns for the communications equipmen...
Erdal Cayirci, Cem Ersoy
131
Voted
AMAI
2006
Springer
15 years 2 months ago
Functional and multivalued dependencies in nested databases generated by record and list constructor
tor. In order to capture different data models at a time, an abstract algebraic approach based on nested attributes is taken. The presence of the list constructor calls for a new i...
Sven Hartmann, Sebastian Link, Klaus-Dieter Schewe
117
Voted
ECCV
2010
Springer
15 years 7 months ago
MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation
We present a novel dual decomposition approach to MAP inference with highly connected discrete graphical models. Decompositions into cyclic k-fan structured subproblems are shown t...