222 search results - page 10 / 45 » A stochastic EM algorithm for a semiparametric mixture model |
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
In this paper we propose a new segmentation algorithm which combines patch-based information with edge cues under a probabilistic framework. We use a mixture of multiple Gaussians...
MICAI
2007
Springer
14 years 2 months ago
2007
Springer
The wavelet transform has been used for feature extraction in many applications of pattern recognition. However, in general the learning algorithms are not designed taking into acc...
ACL
1997
13 years 10 months ago
1997
We propose a new method of classifying documents into categories. We define for each category a finite mixture model based on soft clustering of words. We treat the problem of cla...
ICPR
2010
IEEE
13 years 6 months ago
2010
IEEE
The expectation maximization (EM) algorithm is widely used in the Gaussian mixture model (GMM) as the state-of-art statistical modeling technique. Like the classical EM method, th...
BMCBI
2008
13 years 8 months ago
2008
Background: Ionic current blockade signal processing, for use in nanopore detection, offers a promising new way to analyze single molecule properties with potential implications f...