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» Hierarchical Hidden Markov Models for Information Extraction
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PAMI
2006
109views more  PAMI 2006»
15 years 6 months ago
Offline Grammar-Based Recognition of Handwritten Sentences
This paper proposes a sequential coupling of a Hidden Markov Model (HMM) recognizer for offline handwritten English sentences with a probabilistic bottom-up chart parser using Sto...
Matthias Zimmermann, Jean-Cédric Chappelier...
ICMCS
2005
IEEE
102views Multimedia» more  ICMCS 2005»
15 years 11 months ago
A Probabilistic Framework for TV-News Stories Detection and Classification
In this paper we face the problem of partitioning the news videos into stories, and of their classification according to a predefined set of categories. In particular, we propose ...
Francesco Colace, Pasquale Foggia, Gennaro Percann...
IDEAL
2004
Springer
15 years 11 months ago
Stock Trading by Modelling Price Trend with Dynamic Bayesian Networks
We study a stock trading method based on dynamic bayesian networks to model the dynamics of the trend of stock prices. We design a three level hierarchical hidden Markov model (HHM...
Jangmin O, Jae Won Lee, Sung-Bae Park, Byoung-Tak ...
CIARP
2003
Springer
15 years 11 months ago
Online Handwritten Signature Verification Using Hidden Markov Models
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...
Juan J. Igarza, Iñaki Goirizelaia, Koldo Es...
ISMB
1998
15 years 7 months ago
A Hidden Markov Model for Predicting Transmembrane Helices in Protein Sequences
A novel method to model and predict the location and orientation of alpha helices in membrane- spanning proteins is presented. It is based on a hidden Markov model (HMM) with an a...
Erik L. L. Sonnhammer, Gunnar von Heijne, Anders K...