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» Discrete optimization in computer vision
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ICCV
1995
IEEE
15 years 7 months ago
Algorithms for Implicit Deformable Models
This paper presents a framework for implicit deformable models and a pair of new algorithms for solving the nonlinear partial di erential equations that result from this framework...
Ross T. Whitaker
ICCV
2007
IEEE
15 years 10 months ago
Support Kernel Machines for Object Recognition
Kernel classifiers based on Support Vector Machines (SVM) have recently achieved state-of-the art results on several popular datasets like Caltech or Pascal. This was possible by...
Ankita Kumar, Cristian Sminchisescu
BMVC
2010
14 years 11 months ago
Saliency Segmentation based on Learning and Graph Cut Refinement
Saliency detection is a well researched problem in computer vision. In previous work, most of the effort is spent on manually devising a saliency measure. Instead we propose a sim...
Paria Mehrani, Olga Veksler
HYBRID
2009
Springer
15 years 11 months ago
Decompositional Construction of Lyapunov Functions for Hybrid Systems
In this paper, we present an automatable decompositional method for the computation of Lyapunov functions for hybrid systems with complex discrete state spaces. We use graph-based ...
Jens Oehlerking, Oliver E. Theel
SMI
2006
IEEE
121views Image Analysis» more  SMI 2006»
15 years 10 months ago
Minimum Ratio Contours on Surface Meshes
We present a novel approach for discretely optimizing contours on the surface of a triangle mesh. This is achieved through the use of a minimum ratio cycle (MRC) algorithm, where ...
Andrew Clements, Hao Zhang 0002