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» Minimization of an M-convex Function
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JCP
2008
178views more  JCP 2008»
15 years 5 months ago
Building Design Optimization Using Sequential Linear Programming
-In this paper a nonlinear programming approach is used for the minimization of total communication cost to determine the optimum room dimensions for each room. The nonlinear progr...
Rekha Bhowmik
MCS
2008
Springer
15 years 5 months ago
A nonsmooth Newton's method for control-state constrained optimal control problems
We investigate optimal control problems subject to mixed control-state constraints. The necessary conditions are stated in terms of a local minimum principle. By use of the Fischer...
Matthias Gerdts
TKDE
2008
152views more  TKDE 2008»
15 years 5 months ago
SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis
Linear Discriminant Analysis (LDA) has been a popular method for extracting features that preserves class separability. The projection functions of LDA are commonly obtained by max...
Deng Cai, Xiaofei He, Jiawei Han
CVPR
2009
IEEE
1468views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Hardware-Efficient Belief Propagation
Belief propagation (BP) is an effective algorithm for solving energy minimization problems in computer vision. However, it requires enormous memory, bandwidth, and computation beca...
Chao-Chung Cheng, Chia-Kai Liang, Homer H. Chen, L...
ECCV
2006
Springer
16 years 7 months ago
Integrating Surface Normal Vectors Using Fast Marching Method
i Integration of surface normal vectors is a vital component in many shape reconstruction algorithms that require integrating surface normals to produce their final outputs, the de...
Jeffrey Ho, Jongwoo Lim, Ming-Hsuan Yang, David J....