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» Logical Hidden Markov Models
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PERCOM
2006
ACM
16 years 3 months ago
Deterministic and Probabilistic Implementation of Context
This paper addresses the problem of implementing an context model. First, the abstract context model is represented by a network of situations. Two different implementations for t...
Oliver Brdiczka, Dominique Vaufreydaz, Jér&...
151
Voted
ICML
2003
IEEE
16 years 4 months ago
Hidden Markov Support Vector Machines
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofm...
167
Voted
ICIP
2007
IEEE
16 years 5 months ago
Image Denoising with Nonparametric Hidden Markov Trees
We develop a hierarchical, nonparametric statistical model for wavelet representations of natural images. Extending previous work on Gaussian scale mixtures, wavelet coefficients ...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...
146
Voted
ICPR
2008
IEEE
15 years 10 months ago
A Hidden Markov Model-based continuous gesture recognition system for hand motion trajectory
In this paper, we propose an automatic system that recognizes both isolated and continuous gestures for Arabic numbers (0-9) in real-time based on Hidden Markov Model (HMM). To ha...
Mahmoud Elmezain, Ayoub Al-Hamadi, Jörg Appen...
100
Voted
NIPS
1996
15 years 4 months ago
Hidden Markov Decision Trees
We study a time series model that can be viewed as a decision tree with Markov temporal structure. The model is intractable for exact calculations, thus we utilize variational app...
Michael I. Jordan, Zoubin Ghahramani, Lawrence K. ...