626 search results - page 21 / 126 » Hidden Markov Modelling Techniques for Haplotype Analysis |
AMDO
2008
Springer
13 years 10 months ago
2008
Springer
Hand-gesture recognition presents a challenging problem for computer vision due to the articulated structure of the human hand and the complexity of the environments in which it is...
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
We present a novel framework based on hidden Markov models (HMMs) for matching feature point sets, which capture the shapes of object contours of interest. Point matching algorith...
EMMCVPR
2001
Springer
14 years 18 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...
ICML
1999
IEEE
14 years 9 months ago
1999
IEEE
ing from Robot Sensor Data using Hidden Markov Models Laura Firoiu, Paul Cohen Computer Science Department, LGRC University of Massachusetts at Amherst, Box 34610 Amherst, MA 01003...
EMNLP
2008
13 years 9 months ago
2008
There is growing interest in applying Bayesian techniques to NLP problems. There are a number of different estimators for Bayesian models, and it is useful to know what kinds of t...