227 search results - page 7 / 46 » Feature Learning for Recognition with Bayesian Networks |
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
In this paper, we propose a new gesture recognition model for a set of both one-hand and two-hand gestures based on the dynamic Bayesian network framework which makes it easy to r...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
This paper investigates the problem of incorporating auxiliary information (e.g. pitch) for speech recognition using dynamic Bayesian networks (DBNs). Previous works usually model...
IJCAI
2007
13 years 9 months ago
2007
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
ICDAR
2003
IEEE
14 years 27 days ago
2003
IEEE
In this paper, we propose a Bayesian network framework for explicitly modeling components and their relationships of Korean Hangul characters. A Hangul character is modeled with h...
AAAI
2008
13 years 10 months ago
2008
Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...