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» Kernels for Global Constraints
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103
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COLING
2010
14 years 7 months ago
Forest-guided Supertagger Training
Supertagging is an important technique for deep syntactic analysis. A supertagger is usually trained independently of the parser using a sequence labeling method. This presents an...
Yao-zhong Zhang, Takuya Matsuzaki, Jun-ichi Tsujii
151
Voted
ICCV
2011
IEEE
14 years 17 days ago
Simultaneous Multi-Body Stereo and Segmentation
This paper presents a novel multi-body multi-view stereo method to simultaneously recover dense depth maps and perform segmentation with the input of a monocular image sequence. U...
Guofeng Zhang, Jiaya Jia, Hujun Bao
292
Voted
ICAL
2011
301views more  ICAL 2011»
14 years 6 days ago
On the LVI-based numerical method (E47 algorithm) for solving quadratic programming problems
— In this paper, a numerical method (termed, E47 algorithm) based on linear variational inequalities (LVI) is presented and investigated to solve quadratic programming (QP) probl...
Yunong Zhang, Senbo Fu, Zhijun Zhang, Lin Xiao, Xu...
122
Voted
ICC
2011
IEEE
217views Communications» more  ICC 2011»
14 years 5 days ago
A Distributed Algorithm for Multi-Constrained Anypath Routing in Wireless Mesh Networks
— Anypath routing, a new routing paradigm, has been proposed to improve the performance of wireless networks by exploiting the spatial diversity and broadcast nature of the wirel...
Xi Fang, Dejun Yang, Guoliang Xue
85
Voted
ICCV
2009
IEEE
16 years 5 months ago
Efficient Discriminative Learning of Parts-based Models
Supervised learning of a parts-based model can be for- mulated as an optimization problem with a large (exponen- tial in the number of parts) set of constraints. We show how thi...
M. Pawan Kumar, Andrew Zisserman, Philip H.S. Torr