616 search results - page 8 / 124 » Hierarchical Hidden Markov Models for Information Extraction |
ML
1998
ACM
14 years 9 months ago
1998
ACM
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...
77
Voted
IJCAI
2003
14 years 11 months ago
2003
This paper addresses agents' intentions as building blocks of imitation learning that abstract local situations of the agent, and proposes a hierarchical hidden Markov model ...
AIIA
2005
Springer
15 years 3 months ago
2005
Springer
Building profiles for processes and for interactive users is a important task in intrusion detection. This paper presents the results obtained with a Hierarchical Hidden Markov Mo...
CIVR
2006
Springer
15 years 1 months ago
2006
Springer
Rushes footage are considered as cheap gold mine with the potential for reuse in broadcasting and filmmaking industries. However, it is difficult to mine the "gold" from ...
ICPR
2010
IEEE
14 years 9 months ago
2010
IEEE
—We propose a statistical framework for high-level feature extraction that uses SIFT Gaussian mixture models (GMMs) and audio models. SIFT features were extracted from all the im...