54 search results - page 4 / 11 » Dirichlet Process Gaussian Mixture Models: Choice of the Bas... |
ICIP
2007
IEEE
14 years 8 months ago
2007
IEEE
Gaussian mixture models have been widely used in image segmentation. However, such models are sensitive to outliers. In this paper, we consider a robust model for image segmentati...
ICIP
2001
IEEE
14 years 7 months ago
2001
IEEE
The HMM (Hidden Markov Model) is a probabilistic model of the joint probability of a collection of random variables with both observations and states. The GMM (Gaussian Mixture Mo...
ICIAR
2010
Springer
13 years 3 months ago
2010
Springer
Image segmentation is a critical low-level visual routine for robot perception. However, most image segmentation approaches are still too slow to allow real-time robot operation. I...
DAGM
2009
Springer
14 years 25 days ago
2009
Springer
An important problem in many computer vision tasks is the separation of an object from its background. One common strategy is to estimate appearance models of the object and backgr...
VISUAL
2005
Springer
13 years 11 months ago
2005
Springer
We describe and compare three probabilistic ways to perform Content Based Image Retrieval (CBIR) in compressed domain using images in JPEG2000 format. Our main focus are arbitrary ...