98 search results - page 7 / 20 » Gaussian Mixture Modeling by Exploiting the Mahalanobis Dist... |
TIP
2010
13 years 3 months ago
2010
Abstract--A new Bayesian model is proposed for image segmentation based upon Gaussian mixture models (GMM) with spatial smoothness constraints. This model exploits the Dirichlet co...
ICIP
2000
IEEE
14 years 1 months ago
2000
IEEE
Wavelet-domain hidden Markov models (HMMs) have been recently proposed and applied to image processing, e.g., image denoising. In this paper, we develop a new HMM, called local co...
ICASSP
2011
IEEE
13 years 10 days ago
2011
IEEE
In this paper, we present a novel technique for modeling the posterior probability estimates obtained from a neural network directly in the HMM framework using the Dirichlet Mixtu...
ISBI
2006
IEEE
2006
IEEE
Shape analysis using the Fisher-Rao Riemannian metric: unifying shape representation and deformation
14 years 2 months ago
— We show that the Fisher-Rao Riemannian metric is a natural, intrinsic tool for computing shape geodesics. When a parameterized probability density function is used to represent...
NN
1998
Springer
13 years 8 months ago
1998
Springer
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...