310 search results - page 41 / 62 » Discrete Mixture Models for Unsupervised Image Segmentation |
NIPS
2004
13 years 10 months ago
2004
Statistical language models estimate the probability of a word occurring in a given context. The most common language models rely on a discrete enumeration of predictive contexts ...
ICIP
2008
IEEE
14 years 3 months ago
2008
IEEE
In this paper, we introduce a new method for tracking multiple objects. The method combines Kalman filtering and the Expectation Maximization (EM) algorithm in a novel way to dea...
MICCAI
2009
Springer
14 years 1 months ago
2009
Springer
We propose a recursive Bayesian model for the delineation of coronary arteries from 3D CT angiograms (cardiac CTA) and discuss the use of discrete minimal path techniques as an e...
ICPR
2010
IEEE
13 years 6 months ago
2010
IEEE
We propose a region-based foreground object segmentation method capable of dealing with image sequences containing noise, illumination variations and dynamic backgrounds (as often...
ICPR
2008
IEEE
14 years 3 months ago
2008
IEEE
Recent studies in patch-based Gaussian Mixture Model (GMM) approaches for face age estimation present promising results. We propose using a hidden Markov model (HMM) supervector t...