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Volumn 2, Issue , 2003, Pages 1487-1492

Keyframe Compression and Decompression for Time Series Data based on the Continuous Hidden Markov Model

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA PROCESSING; MARKOV PROCESSES; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY; PROBLEM SOLVING; TIME SERIES ANALYSIS;

EID: 0347409509     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (26)

References (9)
  • 1
    • 0019533482 scopus 로고
    • Principal component analysis in linear systems: Controllability, observability and model reduction
    • B. C. Moore. Principal component analysis in linear systems: Controllability, observability and model reduction. IEEE Transaction, AC-37(1):17-32, 1981.
    • (1981) IEEE Transaction , vol.AC-37 , Issue.1 , pp. 17-32
    • Moore, B.C.1
  • 2
    • 0026113980 scopus 로고
    • Nonlinear principal component analysis using autoassociative neural networks
    • Mark Kramer. Nonlinear principal component analysis using autoassociative neural networks. AIChE Journal, 37:233-243, 1991.
    • (1991) AIChE Journal , vol.37 , pp. 233-243
    • Kramer, M.1
  • 3
    • 0036058639 scopus 로고    scopus 로고
    • Polynomial design of the nonlinear dynamics for the brain-like information processing of whole body motion
    • Masafumi Okada, Koji Tatani, and Yoshihiko Nakamura. Polynomial design of the nonlinear dynamics for the brain-like information processing of whole body motion. In Proc. of IEEE International Conference on Robotics and Automation, pages 1410-1415, 2002.
    • (2002) Proc. of IEEE International Conference on Robotics and Automation , pp. 1410-1415
    • Okada, M.1    Tatani, K.2    Nakamura, Y.3
  • 5
    • 0011972544 scopus 로고    scopus 로고
    • Top-down and bottom-up processing of spatiotemporal patterns in a fully recurrent network of nonmonotonic neurons
    • Satoshi Murakami and Masahiko Morita. Top-down and bottom-up processing of spatiotemporal patterns in a fully recurrent network of nonmonotonic neurons. In Proceedings of the 1999 International Conference on Neural Information Processing, volume 3, pages 1118-1122, 1999.
    • (1999) Proceedings of the 1999 International Conference on Neural Information Processing , vol.3 , pp. 1118-1122
    • Murakami, S.1    Morita, M.2
  • 6
    • 0035979437 scopus 로고    scopus 로고
    • Acquisition of stand-up behavior by a real robot using hierarchical reinforcement learning
    • Jun Morimoto and Kenji Doya. Acquisition of stand-up behavior by a real robot using hierarchical reinforcement learning. Robotics and Autonomous Systems, 36:37-51, 2001.
    • (2001) Robotics and Autonomous Systems , vol.36 , pp. 37-51
    • Morimoto, J.1    Doya, K.2
  • 7
    • 0003822743 scopus 로고    scopus 로고
    • Microsoft Corporation
    • Steve Young et al. The HTK Book. Microsoft Corporation, 2000.
    • (2000) The HTK Book
    • Young, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.