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» Dynamic Programming and Graph Algorithms in Computer Vision
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108
Voted
ICPR
2008
IEEE
15 years 8 months ago
Constrained clustering by a novel graph-based distance transformation
In this work we present a novel method to model instance-level constraints within a clustering algorithm. Thereby, both similarity and dissimilarity constraints can be used coeval...
Kai Rothaus, Xiaoyi Jiang
CVPR
2006
IEEE
15 years 8 months ago
Shape from Dynamic Texture for Planes
We propose a method for recovering the affine geometry of a dynamically textured plane from a video sequence taken by an uncalibrated, fixed, perspective camera. Some instances ...
Yaser Sheikh, Niels C. Haering, Mubarak Shah
82
Voted
CVPR
1999
IEEE
16 years 4 months ago
Stochastic Image Segmentation by Typical Cuts
We present a stochastic clustering algorithm which uses pairwise similarity of elements, based on a new graph theoretical algorithm for the sampling of cuts in graphs. The stochas...
Yoram Gdalyahu, Daphna Weinshall, Michael Werman
BMVC
2010
14 years 9 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
AB
2008
Springer
15 years 8 months ago
Algorithms for Inference, Analysis and Control of Boolean Networks
Boolean networks (BNs) are known as a mathematical model of genetic networks. In this paper, we overview algorithmic aspects of inference, analysis and control of BNs while focusin...
Tatsuya Akutsu, Morihiro Hayashida, Takeyuki Tamur...