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» An Approach for Method Reengineering
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IJCV
2006
236views more  IJCV 2006»
15 years 4 months ago
A Feature-based Approach for Dense Segmentation and Estimation of Large Disparity Motion
We present a novel framework for motion segmentation that combines the concepts of layer-based methods and feature-based motion estimation. We estimate the initial correspondences...
Josh Wills, Sameer Agarwal, Serge Belongie
153
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SIAMSC
2008
237views more  SIAMSC 2008»
15 years 4 months ago
A Variational Shape Optimization Approach for Image Segmentation with a Mumford--Shah Functional
We introduce a novel computational method for a Mumford-Shah functional, which decomposes a given image into smooth regions separated by closed curves. Casting this as a shape opti...
Günay Dogan, Pedro Morin, Ricardo H. Nochetto
EOR
2008
80views more  EOR 2008»
15 years 4 months ago
Quality control of wastewater treatment: A new approach
This paper presents a new approach to quality control of wastewater treatment. The first part formulates basic principles of statistical process control (SPC) and Taguchi Method. ...
Elena Aizenchtadt, Dov Ingman, Eran Friedler
ICMCS
2010
IEEE
215views Multimedia» more  ICMCS 2010»
15 years 3 months ago
Saliency detection: A self-ordinal resemblance approach
In saliency detection, regions attracting visual attention need to be highlighted while effectively suppressing non-salient regions for the semantic scene understanding. However, ...
Wonjun Kim, Chanho Jung, Changick Kim
142
Voted
PKDD
2010
Springer
158views Data Mining» more  PKDD 2010»
15 years 3 months ago
Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach
In this paper, we introduce a simple but efficient greedy algorithm, called SINCO, for the Sparse INverse COvariance selection problem, which is equivalent to learning a sparse Ga...
Katya Scheinberg, Irina Rish