Learning atomic human actions using variable-length Markov models.

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Bibliographic Details
Title: Learning atomic human actions using variable-length Markov models.
Authors: Liang YM; Department of Computer Science, National Chiao Tung University, Hsinchu 300, Taiwan., Shih SW, Shih AC, Liao HY, Lin CC
Source: IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society [IEEE Trans Syst Man Cybern B Cybern] 2009 Feb; Vol. 39 (1), pp. 268-80. Date of Electronic Publication: 2008 Dec 09.
Publication Type: Journal Article
Journal Info: Publisher: Institute of Electrical and Electronics Engineers, Inc Country of Publication: United States NLM ID: 9890044 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1941-0492 (Electronic) Linking ISSN: 10834419 NLM ISO Abbreviation: IEEE Trans Syst Man Cybern B Cybern Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1941-0492
DOI:10.1109/TSMCB.2008.2005643