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ECML
2006
Springer
13 years 11 months ago
2006
Springer
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
CVPR
2004
IEEE
13 years 11 months ago
2004
IEEE
In this paper, we propose a generative model for representing complex motion, such as wavy river, dancing fire and dangling cloth. Our generative method consists of four component...
HICSS
2003
IEEE
14 years 21 days ago
2003
IEEE
This paper describes a novel approach using Hidden Markov Models (HMM) to detect complex Internet attacks. These attacks consist of several steps that may occur over an extended pe...
AUSAI
2003
Springer
14 years 19 days ago
2003
Springer
Most on-line cursive handwriting recognition systems use a lexical constraint to help improve the recognition performance. Traditionally, the vocabulary lexicon is stored in a trie...
ML
1998
ACM
13 years 7 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...