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» Point-in-polygon tests by convex decomposition
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CG
2007
Springer
13 years 5 months ago
Point-in-polygon tests by convex decomposition
Jing Li, Wencheng Wang, Enhua Wu
MVA
2000
136views Computer Vision» more  MVA 2000»
13 years 6 months ago
Qualitative Decomposition of Range Images into Convex Parts / Objects
Previous works on range image segmentation concentrate on surface patches that can be well represented by certain mathematical functions. In this paper we consider the more qualit...
Xiaoyi Jiang
SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
13 years 11 months ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson
ANOR
2006
69views more  ANOR 2006»
13 years 5 months ago
A splitting method for stochastic programs
This paper derives a new splitting-based decomposition algorithm for convex stochastic programs. It combines certain attractive features of the progressive hedging algorithm of Roc...
Teemu Pennanen, Markku Kallio
ICASSP
2011
IEEE
12 years 9 months ago
Subspace constrained LU decomposition of FMLLR for rapid adaptation
This paper describes subspace constrained feature space maximum likelihood linear regression (FMLLR) for rapid adaptation. The test speaker’s FMLLR rotation matrix is decomposed...
Lei Jia, Dong Yu, Bo Xu