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NIPS
2003
13 years 6 months ago
Image Reconstruction by Linear Programming
— One way of image denoising is to project a noisy image to the subspace of admissible images derived, for instance by PCA. However, a major drawback of this method is that all p...
Koji Tsuda, Gunnar Rätsch
ISBI
2008
IEEE
14 years 6 months ago
Knee reconstruction through efficient linear programming
In this paper we propose a novel method to recover the 3D shape of the knee and of the prosthesis for the patients that have undergone total knee replacement surgery. We address t...
Mihai Sardarescu, Nikos Paragios, Nikos Komodakis,...
CVPR
2010
IEEE
13 years 7 months ago
Co-clustering of Image Segments Using Convex Optimization Applied to EM Neuronal Reconstruction
This paper addresses the problem of jointly clustering two segmentations of closely correlated images. We focus in particular on the application of reconstructing neuronal structu...
Shiv Vitaladevuni, Ronen Basri
DGCI
2003
Springer
13 years 10 months ago
Stability in Discrete Tomography: Linear Programming, Additivity and Convexity
The problem of reconstructing finite subsets of the integer lattice from X-rays has been studied in discrete mathematics and applied in several fields like image processing, data...
Sara Brunetti, Alain Daurat
SIAMSC
2010
161views more  SIAMSC 2010»
13 years 3 months ago
Surface Reconstruction and Image Enhancement via L1-Minimization
A surface reconstruction technique based on minimization of the total variation of the gradient is introduced. Convergence of the method is established, and an interior-point algor...
Veselin Dobrev, Jean-Luc Guermond, Bojan Popov