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» New interval methods for constrained global optimization
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113
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CVPR
2007
IEEE
16 years 5 months ago
Autocalibration via Rank-Constrained Estimation of the Absolute Quadric
We present an autocalibration algorithm for upgrading a projective reconstruction to a metric reconstruction by estimating the absolute dual quadric. The algorithm enforces the ra...
Manmohan Krishna Chandraker, Sameer Agarwal, Fredr...
129
Voted
ICIP
2006
IEEE
16 years 5 months ago
A Partition Constrained Minimization Scheme for Efficient Multiphase Level Set Image Segmentation
This study investigates a new multiphase minimization scheme which embeds a simple, efficient partition constraint directly in multiple level set evolution. Starting from an arbit...
Ismail Ben Ayed, Amar Mitiche
CORR
2011
Springer
145views Education» more  CORR 2011»
14 years 10 months ago
Global Search Based on Efficient Diagonal Partitions and a set of Lipschitz Constants
In the paper, the global optimization problem of a multidimensional “black-box” function satisfying the Lipschitz condition over a hyperinterval with an unknown Lipschitz const...
Yaroslav D. Sergeyev, Dmitri E. Kvasov
VLDB
1997
ACM
134views Database» more  VLDB 1997»
15 years 7 months ago
Spatial Joins Using R-trees: Breadth-First Traversal with Global Optimizations
R-tree based spatial join is useful because of both its superior performance and the wide spread implementation of R-trees. We present a new R-tree join method called BFRJ (Breadt...
Yun-Wu Huang, Ning Jing, Elke A. Rundensteiner
CVPR
2005
IEEE
16 years 5 months ago
Shape Regularized Active Contour Using Iterative Global Search and Local Optimization
Recently, nonlinear shape models have been shown to improve the robustness and flexibility of segmentation. In this paper, we propose Shape Regularized Active Contour (ShRAC) that...
Tianli Yu, Jiebo Luo, Narendra Ahuja