310 search results - page 26 / 62 » Discrete Mixture Models for Unsupervised Image Segmentation |
DAGM
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. A method for exploiting the information in low-level image segmentations for the purpose of object recognition is presented. The key idea is to use a whole ensemble of se...
ICIP
2004
IEEE
14 years 9 months ago
2004
IEEE
We propose a mixture of multiple linear models, also known as hybrid linear model, for a sparse representation of an image. This is a generalization of the conventional KarhunenLo...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
IVC
1998
13 years 7 months ago
1998
A statistical model to segment clinical magnetic resonance (MR) images in the presence of noise and intensity inhomogeneities is proposed. Inhomogeneities are considered to be mul...
ECCV
2006
Springer
13 years 11 months ago
2006
Springer
We propose a closed form solution for segmenting mixtures of 2-D translational and 2-D affine motion models directly from the image intensities. Our approach exploits the fact that...