13 search results - page 2 / 3 » A Gradient Descent Approximation for Graph Cuts |
266
Voted
EMMCVPR
2011
Springer
14 years 27 days ago
2011
Springer
Abstract. The Mumford-Shah model has been one of the most powerful models in image segmentation and denoising. The optimization of the multiphase Mumford-Shah energy functional has...
135
Voted
CVPR
2008
IEEE
16 years 3 months ago
2008
IEEE
We present a new shape prior segmentation method using graph cuts capable of segmenting multiple objects. The shape prior energy is based on a shape distance popular with level se...
124
Voted
CVPR
2008
IEEE
16 years 3 months ago
2008
IEEE
Accurate estimation of optical flow is a challenging task, which often requires addressing difficult energy optimization problems. To solve them, most top-performing methods rely ...
106
Voted
NIPS
2008
15 years 2 months ago
2008
We consider the problem of multiple kernel learning (MKL), which can be formulated as a convex-concave problem. In the past, two efficient methods, i.e., Semi-Infinite Linear Prog...
158
Voted
ECCV
2008
Springer
15 years 11 months ago
2008
Springer
There are many local and greedy algorithms for energy minimization over Markov Random Field (MRF) such as iterated condition mode (ICM) and various gradient descent methods. Local ...