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» New interval methods for constrained global optimization
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101
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CGO
2006
IEEE
15 years 9 months ago
Region Monitoring for Local Phase Detection in Dynamic Optimization Systems
Dynamic optimization relies on phase detection for two important functions (1) To detect change in code working set and (2) To detect change in performance characteristics that ca...
Abhinav Das, Jiwei Lu, Wei-Chung Hsu
116
Voted
ICCV
2009
IEEE
16 years 8 months ago
Optimizing Parametric Total Variation Models
One of the key factors for the success of recent energy minimization methods is that they seek to compute global solutions. Even for non-convex energy functionals, optimization ...
Petter Strandmark, Fredrik Kahl, Niels Chr. Overga...
139
Voted
JMLR
2010
129views more  JMLR 2010»
14 years 10 months ago
Learning Polyhedral Classifiers Using Logistic Function
In this paper we propose a new algorithm for learning polyhedral classifiers. In contrast to existing methods for learning polyhedral classifier which solve a constrained optimiza...
Naresh Manwani, P. S. Sastry
CVPR
2003
IEEE
16 years 5 months ago
Representation and Detection of Deformable Shapes
We describe some techniques that can be used to represent and detect deformable shapes in images. The main difficulty with deformable template models is the very large or infinite...
Pedro F. Felzenszwalb
146
Voted
JCST
2010
109views more  JCST 2010»
14 years 10 months ago
Feature Preserving Mesh Simplification Using Feature Sensitive Metric
We present a new method for feature preserving mesh simplification based on feature sensitive (FS) metric. Previous quadric error based approach is extended to a high-dimensional F...
Jin Wei, Yu Lou