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» Spam Deobfuscation using a Hidden Markov Model
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ANSS
2006
IEEE
14 years 1 months ago
A New Approach for Computing Conditional Probabilities of General Stochastic Processes
In this paper Hidden Markov Model algorithms are considered as a method for computing conditional properties of continuous-time stochastic simulation models. The goal is to develo...
Fabian Wickborn, Claudia Isensee, Thomas Simon, Sa...
NIPS
2008
13 years 8 months ago
The Infinite Factorial Hidden Markov Model
We introduce a new probability distribution over a potentially infinite number of binary Markov chains which we call the Markov Indian buffet process. This process extends the IBP...
Jurgen Van Gael, Yee Whye Teh, Zoubin Ghahramani
CIVR
2004
Springer
186views Image Analysis» more  CIVR 2004»
13 years 10 months ago
Video Segmentation Using Hidden Markov Model with Multimodal Features
In this paper, a video segmentation algorithm based on Hidden Markov Model classifier with multimodal feature is proposed. By using Hidden Markov Model classifier with both audio a...
Tae Meon Bae, Sung Ho Jin, Yong Man Ro
IBPRIA
2003
Springer
14 years 4 days ago
Chromosome Classification Using Continuous Hidden Markov Models
Up-to-date results on the application of Markov models to chromosome analysis are presented. On the one hand, this means using continuous Hidden Markov Models (HMMs) instead of dis...
César Martínez, Héctor Garc&i...
EMNLP
2010
13 years 5 months ago
A Fast Fertility Hidden Markov Model for Word Alignment Using MCMC
A word in one language can be translated to zero, one, or several words in other languages. Using word fertility features has been shown to be useful in building word alignment mo...
Shaojun Zhao, Daniel Gildea