182 search results - page 6 / 37 » Component-wise parameter smoothing for learning mixture mode... |
MICCAI
2008
Springer
14 years 10 months ago
2008
Springer
In this paper, a spatially constrained mixture model for the segmentation of MR brain images is presented. The novelty of this work is a new, edge preserving, smoothness prior whic...
PR
2010
13 years 7 months ago
2010
Aggregating statistical representations of classes is an important task for current trends in scaling up learning and recognition, or for addressing them in distributed infrastruc...
INTERSPEECH
2010
13 years 3 months ago
2010
This paper presents a Bayesian approach for Gaussian mixture model (GMM)-based speaker identification. Some approaches evaluate the speaker score of a test speech utterance using ...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
— From the Bayesian Ying-Yang (BYY) harmony learning theory, a harmony function has been developed for finite mixtures with a novel property that its maximization can make model...
UAI
1998
13 years 10 months ago
1998
We describe computationally efficient methods for learning mixtures in which each component is a directed acyclic graphical model (mixtures of DAGs or MDAGs). We argue that simple...