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Skrytý Markovův model (Czech Wikipedia)

Analysis of information sources in references of the Wikipedia article "Skrytý Markovův model" in Czech language version.

refsWebsite
Global rank Czech rank
9doi.org
2nd place
4th place
2ieee.org
652nd place
664th place
1projecteuclid.org
3,707th place
low place
1scribd.com
482nd place
975th place
1gatech.edu
4,448th place
low place
1sciencedirect.com
149th place
80th place
1springeropen.com
low place
4,218th place
1ucsb.edu
1,115th place
2,475th place

doi.org

  • BAUM, L. E.; PETRIE, T. Statistical Inference for Probabilistic Functions of Finite State Markov Chains. The Annals of Mathematical Statistics. 1966, s. 1554–1563. Dostupné online [cit. 28 November 2011]. doi:10.1214/aoms/1177699147. 
  • BAUM, L. E.; SELL, G. R. Growth transformations for functions on manifolds. Pacific Journal of Mathematics. 1968, s. 211–227. Dostupné online [cit. 28 November 2011]. doi:10.2140/pjm.1968.27.211. 
  • STRATONOVICH, R. L. Conditional Markov Processes. S. 156–178. Theory of Probability & Its Applications [online]. 1960-01 [cit. 2020-12-10]. Roč. 5, čís. 2, s. 156–178. doi:10.1137/1105015. (anglicky) 
  • STARNER, Thad; PENTLAND, Alex. Real-time American Sign Language recognition from video using hidden Markov models. S. 265–270. Proceedings of International Symposium on Computer Vision – ISCV [online]. 1995-11 [cit. 2020-12-10]. S. 265–270. Dostupné online. doi:10.1109/ISCV.1995.477012. (anglicky) 
  • PIECZYNSKI, Wojciech. Multisensor triplet Markov chains and theory of evidence. S. 1–16. International Journal of Approximate Reasoning [online]. 2007-05 [cit. 2020-12-10]. Roč. 45, čís. 1, s. 1–16. Dostupné online. doi:10.1016/j.ijar.2006.05.001. (anglicky) 
  • BOUDAREN, Mohamed El Yazid; MONFRINI, Emmanuel; PIECZYNSKI, Wojciech; AÏSSANI, Amar. Dempster–Shafer fusion of multisensor signals in nonstationary Markovian context. S. 134. EURASIP Journal on Advances in Signal Processing [online]. 2012-12 [cit. 2020-12-10]. Roč. 2012, čís. 1, s. 134. Dostupné online. doi:10.1186/1687-6180-2012-134. (anglicky) 
  • LANCHANTIN, P.; PIECZYNSKI, W. Unsupervised restoration of hidden nonstationary Markov chains using evidential priors. S. 3091–3098. IEEE Transactions on Signal Processing [online]. 2005-08 [cit. 2020-12-10]. Roč. 53, čís. 8, s. 3091–3098. Dostupné online. doi:10.1109/TSP.2005.851131. (anglicky) 
  • BOUDAREN, M. E. Y.; MONFRINI, E.; PIECZYNSKI, W. Unsupervised Segmentation of Random Discrete Data Hidden With Switching Noise Distributions. S. 619–622. IEEE Signal Processing Letters [online]. 2012-10 [cit. 2020-12-10]. Roč. 19, čís. 10, s. 619–622. Dostupné online. doi:10.1109/LSP.2012.2209639. (anglicky) 
  • RABINER, Lawrence R. A tutorial on hidden Markov models and selected applications in speech recognition. S. 257–286. Proceedings of the IEEE [online]. 1989-02 [cit. 2020-12-10]. Roč. 77, čís. 2, s. 257–286. Dostupné online. doi:10.1109/5.18626. (anglicky) 

gatech.edu

cc.gatech.edu

  • STARNER, Thad; PENTLAND, Alex. Real-time American Sign Language recognition from video using hidden Markov models. S. 265–270. Proceedings of International Symposium on Computer Vision – ISCV [online]. 1995-11 [cit. 2020-12-10]. S. 265–270. Dostupné online. doi:10.1109/ISCV.1995.477012. (anglicky) 

ieee.org

ieeexplore.ieee.org

  • LANCHANTIN, P.; PIECZYNSKI, W. Unsupervised restoration of hidden nonstationary Markov chains using evidential priors. S. 3091–3098. IEEE Transactions on Signal Processing [online]. 2005-08 [cit. 2020-12-10]. Roč. 53, čís. 8, s. 3091–3098. Dostupné online. doi:10.1109/TSP.2005.851131. (anglicky) 
  • BOUDAREN, M. E. Y.; MONFRINI, E.; PIECZYNSKI, W. Unsupervised Segmentation of Random Discrete Data Hidden With Switching Noise Distributions. S. 619–622. IEEE Signal Processing Letters [online]. 2012-10 [cit. 2020-12-10]. Roč. 19, čís. 10, s. 619–622. Dostupné online. doi:10.1109/LSP.2012.2209639. (anglicky) 

projecteuclid.org

  • BAUM, L. E.; PETRIE, T. Statistical Inference for Probabilistic Functions of Finite State Markov Chains. The Annals of Mathematical Statistics. 1966, s. 1554–1563. Dostupné online [cit. 28 November 2011]. doi:10.1214/aoms/1177699147. 

sciencedirect.com

  • PIECZYNSKI, Wojciech. Multisensor triplet Markov chains and theory of evidence. S. 1–16. International Journal of Approximate Reasoning [online]. 2007-05 [cit. 2020-12-10]. Roč. 45, čís. 1, s. 1–16. Dostupné online. doi:10.1016/j.ijar.2006.05.001. (anglicky) 

scribd.com

  • BAUM, L. E.; SELL, G. R. Growth transformations for functions on manifolds. Pacific Journal of Mathematics. 1968, s. 211–227. Dostupné online [cit. 28 November 2011]. doi:10.2140/pjm.1968.27.211. 

springeropen.com

asp-eurasipjournals.springeropen.com

  • BOUDAREN, Mohamed El Yazid; MONFRINI, Emmanuel; PIECZYNSKI, Wojciech; AÏSSANI, Amar. Dempster–Shafer fusion of multisensor signals in nonstationary Markovian context. S. 134. EURASIP Journal on Advances in Signal Processing [online]. 2012-12 [cit. 2020-12-10]. Roč. 2012, čís. 1, s. 134. Dostupné online. doi:10.1186/1687-6180-2012-134. (anglicky) 

ucsb.edu

web.ece.ucsb.edu

  • RABINER, Lawrence R. A tutorial on hidden Markov models and selected applications in speech recognition. S. 257–286. Proceedings of the IEEE [online]. 1989-02 [cit. 2020-12-10]. Roč. 77, čís. 2, s. 257–286. Dostupné online. doi:10.1109/5.18626. (anglicky)