34 search results - page 2 / 7 » Applications of hidden Markov models in bar code decoding |
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
The fusion of information from heterogenous sensors is crucial to the effectiveness of a multimodal system. Noise affect the sensors of different modalities independently. A good ...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
—In this paper we consider an interacting two-agent sequential decision-making problem consisting of a Markov source process, a causal encoder with feedback, and a causal decoder...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
Abstract. Hidden Markov models are traditionally decoded by the Viterbi algorithm which finds the highest probability state path in the model. In recent years, several limitations ...
BMCBI
2006
13 years 7 months ago
2006
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
TIT
2008
13 years 6 months ago
2008
Abstract--This letter considers the average complexity of maximum-likelihood (ML) decoding of convolutional codes. ML decoding can be modeled as finding the most probable path take...