783 search results - page 5 / 157 » A Method of Hidden Markov Model Optimization for Use with Ge... |
EMMCVPR
2001
Springer
14 years 4 days ago
2001
Springer
Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
GCB
2000
Springer
13 years 11 months ago
2000
Springer
Conventional phylogenetic tree estimation methods assume that all sites in a DNA multiple alignment have the same evolutionary history. This assumption is violated in data sets fro...
DMSN
2008
ACM
13 years 9 months ago
2008
ACM
When dealing with sensors with different time resolutions, it is desirable to model a sensor reading as pertaining to a time interval rather than a unit of time. We introduce two ...
PR
2011
13 years 2 months ago
2011
The Student’s-t hidden Markov model (SHMM) has been recently proposed as a robust to outliers form of conventional continuous density hidden Markov models, trained by means of t...
MICCAI
2001
Springer
14 years 2 days ago
2001
Springer
Abstract. This paper describes a new segmentation technique for multidimensional dynamic data. One example of such data is a perfusion sequence where a number of 3D MRI volumes sho...