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ICIP
2005
IEEE
14 years 10 months ago
Parameter estimation of multi-dimensional hidden Markov models - a scalable approach
Parameter estimation is a key computational issue in all statistical image modeling techniques. In this paper, we explore a computationally efficient parameter estimation algorith...
Dhiraj Joshi, Jia Li, James Ze Wang
EMNLP
2008
13 years 10 months ago
A comparison of Bayesian estimators for unsupervised Hidden Markov Model POS taggers
There is growing interest in applying Bayesian techniques to NLP problems. There are a number of different estimators for Bayesian models, and it is useful to know what kinds of t...
Jianfeng Gao, Mark Johnson
ICPR
2008
IEEE
14 years 3 months ago
Face age estimation using patch-based hidden Markov model supervectors
Recent studies in patch-based Gaussian Mixture Model (GMM) approaches for face age estimation present promising results. We propose using a hidden Markov model (HMM) supervector t...
Xiaodan Zhuang, Xi Zhou, Mark Hasegawa-Johnson, Th...
MM
2005
ACM
140views Multimedia» more  MM 2005»
14 years 2 months ago
Topic transition detection using hierarchical hidden Markov and semi-Markov models
In this paper we introduce a probabilistic framework to exploit hierarchy, structure sharing and duration information for topic transition detection in videos. Our probabilistic d...
Dinh Q. Phung, Thi V. Duong, Svetha Venkatesh, Hun...
ICIAP
2007
ACM
14 years 8 months ago
Sparseness Achievement in Hidden Markov Models
In this paper, a novel learning algorithm for Hidden Markov Models (HMMs) has been devised. The key issue is the achievement of a sparse model, i.e., a model in which all irreleva...
Manuele Bicego, Marco Cristani, Vittorio Murino