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Volumn , Issue , 2011, Pages 250-255

Double articulation analyzer for unsegmented human motion using Pitman-Yor language model and infinite hidden Markov model

Author keywords

[No Author keywords available]

Indexed keywords

ARTICULATION STRUCTURES; HIDDEN STRUCTURES; HIERARCHICAL DIRICHLET PROCESS; HIERARCHICAL STRUCTURES; HUMAN MOTION DATA; HUMAN MOTIONS; LANGUAGE MODEL; MORPHOLOGICAL ANALYSIS; NATURAL LANGUAGES; NON-PARAMETRIC BAYESIAN; OBSERVED DATA;

EID: 84857543879     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SII.2011.6147455     Document Type: Conference Paper
Times cited : (36)

References (18)
  • 2
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    • DOI 10.1023/A:1013254724861
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    • (2002) Autonomous Robots , vol.12 , Issue.1 , pp. 39-54
    • Fod, A.1    Mataric, M.J.2    Jenkins, O.C.3
  • 7
    • 48149109279 scopus 로고    scopus 로고
    • Segmentation, memorization, recognition and abstraction of humanoid motions based on correlations and associative memory
    • H. Kadone and Y. Nakamura, "Segmentation, memorization, recognition and abstraction of humanoid motions based on correlations and associative memory," in IEEE-RAS International Conference on Humanoid Robotics, 2006, pp. 1-6.
    • IEEE-RAS International Conference on Humanoid Robotics, 2006 , pp. 1-6
    • Kadone, H.1    Nakamura, Y.2
  • 8
  • 9
    • 80054003159 scopus 로고    scopus 로고
    • Unsupervised segmentation of human motion data using a sticky hierarchical dirichlet process-hidden markov model and minimal description length-based chunking method for imitation learning
    • T. Taniguchi, K. Hamahata, and N. Iwahashi, "Unsupervised segmentation of human motion data using a sticky hierarchical dirichlet process-hidden markov model and minimal description length-based chunking method for imitation learning," Advanced Robotics, vol. 2 5, pp. 2143-2172, 2011.
    • (2011) Advanced Robotics , vol.2 , Issue.5 , pp. 2143-2172
    • Taniguchi, T.1    Hamahata, K.2    Iwahashi, N.3
  • 14
    • 0036489069 scopus 로고    scopus 로고
    • Bayesian methods for hidden markov models: Recursive computing in the 21st century
    • S. Scott, "Bayesian methods for hidden markov models: Recursive computing in the 21st century," Journal of the American Statistical Association, vol. 97, no. 457, pp. 337-351, 2002.
    • (2002) Journal of the American Statistical Association , vol.97 , Issue.457 , pp. 337-351
    • Scott, S.1
  • 17
    • 15544364892 scopus 로고    scopus 로고
    • Discovery of time-series motif from multi-dimensional data based on MDL principle
    • DOI 10.1007/s10994-005-5829-2
    • Y. Tanaka, K. Iwamoto, and K. Uehara, "Discovery of Time-Series Motif from Multi-Dimensional Data Based on MDL Principle," Machine Learning, vol. 58, no. 2, pp. 269-300, 2005. (Pubitemid 40400640)
    • (2005) Machine Learning , vol.58 , Issue.2-3 , pp. 269-300
    • Tanaka, Y.1    Iwamoto, K.2    Uehara, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.