17 search results - page 1 / 4 » Embedding HMM's-based models in a Euclidean space: The topol... |
ICPR
2008
IEEE
13 years 10 months ago
2008
IEEE
One of the major limitations of HMM-based models is the inability to cope with topology: When applied to a visible observation (VO) sequence, HMM-based techniques have difficulty ...
CIARP
2003
Springer
13 years 9 months ago
2003
Springer
Most people are used to signing documents and because of this, it is a trusted and natural method for user identity verification, reducing the cost of password maintenance and decr...
NAACL
2003
13 years 5 months ago
2003
It is well known that frame independence assumption is a fundamental limitation of current HMM based speech recognition systems. By treating each speech frame independently, HMMs ...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
SSPR
2010
Springer
13 years 2 months ago
2010
Springer
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...