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118
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ICCV
2009
IEEE
16 years 8 months ago
An Algorithm for Minimizing the Piecewise Smooth Mumford-Shah Functional
In this work we revisit the Mumford-Shah functional, one of the most studied variational approaches to image segmentation. The contribution of this paper is to propose an algori...
Thomas Pock, Daniel Cremers, Horst Bischof, Antoni...
121
Voted
ICPR
2002
IEEE
16 years 4 months ago
A Robust Semi-Supervised EM-Based Clustering Algorithm with a Reject Option
In this paper, we address the problem of semisupervision in the framework of parametric clustering by using labeled and unlabeled data together. Clustering algorithms can take adv...
Christophe Saint-Jean, Carl Frélicot
98
Voted
ICML
2009
IEEE
16 years 4 months ago
Gradient descent with sparsification: an iterative algorithm for sparse recovery with restricted isometry property
We present an algorithm for finding an ssparse vector x that minimizes the squareerror y - x 2 where satisfies the restricted isometry property (RIP), with isometric constant 2s ...
Rahul Garg, Rohit Khandekar
111
Voted
ICCAD
2007
IEEE
129views Hardware» more  ICCAD 2007»
16 years 18 days ago
A novel intensity based optical proximity correction algorithm with speedup in lithography simulation
Abstract—It is important to reduce the Optical Proximity Correction (OPC) runtime while maintaining a good result quality. In this paper, we obtain a better formula, which theore...
Peng Yu, David Z. Pan
116
Voted
ISNN
2007
Springer
15 years 9 months ago
Neural Networks Training with Optimal Bounded Ellipsoid Algorithm
Abstract. Compared to normal learning algorithms, for example backpropagation, the optimal bounded ellipsoid (OBE) algorithm has some better properties, such as faster convergence,...
José de Jesús Rubio, Wen Yu