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Volumn 1, Issue 1, 2004, Pages 231-244

Learning to automatically detect features for mobile robots using second-order hidden markov models

Author keywords

Hidden markov models; Mobile robots; Sensor data interpretation

Indexed keywords

INDOOR ENVIRONMENT; OUTDOOR ENVIRONMENT; SECOND-ORDER HIDDEN MARKOV MODELS; SENSOR DATA; T-INTERSECTIONS; TEMPORAL SEQUENCES; TEMPORAL SIGNALS; VARIABLE LENGTH;

EID: 47349101254     PISSN: 17298806     EISSN: 17298814     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (19)

References (24)
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  • 7
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    • Elfes, A.1
  • 8
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    • Forney, G.1
  • 10
    • 0028519439 scopus 로고
    • Hidden markov model approach to skill learning and its application to telerobotics
    • J. Yang, Y. Xu, C. C. (1994). Hidden markov model approach to skill learning and its application to telerobotics. IEEE transactions on robotics and automation.
    • (1994) IEEE Transactions on Robotics and Automation
    • Yang, J.1    Xu, Y.2    C, C.3
  • 18
    • 0024610919 scopus 로고
    • A tutorial on hidden markov models and selected applications in speech recognition
    • Rabiner, L. R. (1989). A Tutorial on Hidden Markov Models and Selected Applications in Speech recognition. IEEE Trans, on ASSP, 77 (2), 257-286.
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    • Rabiner, L.R.1
  • 19
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    • Intelligent fault diagnosis and control reconfiguration
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  • 20
    • 0028667329 scopus 로고
    • Hidden markov models for fault detection in dynamic systems
    • Smyth, P. (1994). Hidden Markov models for fault detection in dynamic systems. Pattern Recognition, 27(1), 149-164.
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    • Smyth, P.1
  • 21
    • 0032182830 scopus 로고    scopus 로고
    • Bayesian landmark learning for mobile robot localization
    • Thrun, S. (1998). Bayesian landmark learning for mobile robot localization. Machine Learning.
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  • 22
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  • 23
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.