560 search results - page 54 / 112 » Level-set methods for convex optimization |
150
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DAGM
2009
Springer
16 years 16 days ago
2009
Springer
We present a continuous and convex formulation for Finsler active contours using seed regions or utilizing a regional bias term. The utilization of general Finsler metrics instead ...
179
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ISVC
2009
Springer
16 years 15 days ago
2009
Springer
Abstract. In this paper, we propose a novel and fast method to localize and track needles during image-guided interventions. Our proposed method is comprised of framework of needle...
158
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TSP
2008
15 years 5 months ago
2008
Minimum variance beamforming, which uses a weight vector that maximizes the signal-to-interference-plus-noise ratio (SINR), is often sensitive to estimation error and uncertainty i...
357
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CVPR
2012
IEEE
13 years 8 months ago
2012
IEEE
We consider the problem of finding a few representatives for a dataset, i.e., a subset of data points that efficiently describes the entire dataset. We assume that each data poi...
146
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ICASSP
2009
IEEE
16 years 21 days ago
2009
IEEE
Recently proposed l1-regularized maximum-likelihood optimization methods for learning sparse Markov networks result into convex problems that can be solved optimally and efficien...