783 search results - page 123 / 157 » A Method of Hidden Markov Model Optimization for Use with Ge... |
NIPS
2008
13 years 9 months ago
2008
We introduce a new interpretation of multiscale random fields (MSRFs) that admits efficient optimization in the framework of regular (single level) random fields (RFs). It is base...
NIPS
2007
13 years 9 months ago
2007
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
IROS
2006
IEEE
14 years 1 months ago
2006
IEEE
— We propose to classify the behaviors of a mobile robot thanks to topological methods as an alternative to metric ones. To do so, we adapt an analysis scheme from Physics of non...
ACCV
2007
Springer
14 years 1 months ago
2007
Springer
Inspired by the idea of multi-view, we proposed an image segmentation algorithm using co-EM strategy in this paper. Image data are modeled using Gaussian Mixture Model (GMM), and t...
ANSS
1998
IEEE
14 years 7 min ago
1998
IEEE
In solving application problems, the data sets used to train a neural network may not be hundred percent precise but within certain ranges. Representing data sets with intervals, ...