560 search results - page 54 / 112 » Level-set methods for convex optimization |
156
click to vote
DAGM
2009
Springer
16 years 29 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 ...
188
click to vote
ISVC
2009
Springer
16 years 29 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...
167
click to vote
TSP
2008
15 years 6 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...
369
click to vote
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...
153
click to vote
ICASSP
2009
IEEE
16 years 1 months 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...