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ICDAR
2009
IEEE
15 years 8 months ago
Learning Rich Hidden Markov Models in Document Analysis: Table Location
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
Ana Costa e Silva
110
Voted
IPPS
2007
IEEE
15 years 7 months ago
A Markov Reward Model for Software Reliability
A compositional method for estimating software reliability of many threaded programs is developed. The method uses estimates of the reliability of individual modules and the proba...
YoungMin Kwon, Gul Agha
NIPS
2004
15 years 2 months ago
Semi-Markov Conditional Random Fields for Information Extraction
We describe semi-Markov conditional random fields (semi-CRFs), a conditionally trained version of semi-Markov chains. Intuitively, a semiCRF on an input sequence x outputs a "...
Sunita Sarawagi, William W. Cohen
QUESTA
2006
119views more  QUESTA 2006»
15 years 1 months ago
Single-Server Queue with Markov-Dependent Inter-Arrival and Service Times
In this paper we study a single-server queue where the inter-arrival times and the service times depend on a common discrete time Markov Chain. This model generalizes the well-kno...
Ivo J. B. F. Adan, Vidyadhar G. Kulkarni
JMIV
2002
122views more  JMIV 2002»
15 years 1 months ago
Markov Random Field Modeling in Median Pyramidal Transform Domain for Denoising Applications
We consider a median pyramidal transform for denoising applications. Traditional techniques of pyramidal denoising are similar to those in wavelet-based methods. In order to remove...
Ilya Gluhovsky, Vladimir P. Melnik, Ilya Shmulevic...