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» Experimental Evaluation of Hierarchical Hidden Markov Models
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COLING
1996
15 years 3 months ago
HMM-Based Word Alignment in Statistical Translation
In this paper, we describe a new model for word alignment in statistical translation and present experimental results. The idea of the model is to make the alignment probabilities...
Stephan Vogel, Hermann Ney, Christoph Tillmann
QEST
2009
IEEE
15 years 8 months ago
Simulation-Based CTMC Model Checking: An Empirical Evaluation
This paper provides an experimental study of the efficiency of simulation-based model-checking algorithms for continuous-time Markov chains by comparing: MRMC – the only tool t...
Joost-Pieter Katoen, Ivan S. Zapreev
IJDMMM
2010
128views more  IJDMMM 2010»
15 years 13 days ago
Graphical models based hierarchical probabilistic community discovery in large-scale social networks
: Real-world social networks, while disparate in nature, often comprise of a set of loose clusters (a.k.a. communities), in which members are better connected to each other than to...
Haizheng Zhang, Ke Ke, Wei Li, Xuerui Wang
ICCV
2009
IEEE
14 years 11 months ago
Segmentation, ordering and multi-object tracking using graphical models
In this paper, we propose a unified graphical-model framework to interpret a scene composed of multiple objects in monocular video sequences. Using a single pairwise Markov random...
Chaohui Wang, Martin de La Gorce, Nikos Paragios
CVPR
2008
IEEE
15 years 3 months ago
Photometric stereo with coherent outlier handling and confidence estimation
In photometric stereo a robust method is required to deal with outliers, such as shadows and non-Lambertian reflections. In this paper we rely on a probabilistic imaging model tha...
Frank Verbiest, Luc J. Van Gool