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Volumn 3, Issue , 2008, Pages 1363-1368

CIGAR: Concurrent and interleaving goal and activity recognition

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIONICS; PROBABILITY; SENSOR NETWORKS; WIRELESS NETWORKS; WIRELESS SENSOR NETWORKS;

EID: 57749096982     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (97)

References (15)
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  • 2
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    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • Lafferty, J. D.; McCallum, A.; and Pereira, F. C. N. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In ICML, 282-289.
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    • Lafferty, J.D.1    McCallum, A.2    Pereira, F.C.N.3
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    • Training conditional random fields using virtual evidence boosting
    • Liao, L.; Choudhury, T.; Fox, D.; and Kautz, H. A. 2007. Training conditional random fields using virtual evidence boosting. In IJCAI, 2530-2535.
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  • 7
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    • Liao, L.; Fox, D.; and Kautz, H. A. 2005. Location-based activity recognition using relational markov networks. In IJCAI, 773-778.
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    • Liao, L.1    Fox, D.2    Kautz, H.A.3
  • 8
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    • Extracting places and activities from gps traces using hierarchical conditional random fields
    • Liao, L.; Fox, D.; and Kautz, H. A. 2007. Extracting places and activities from gps traces using hierarchical conditional random fields. IJRR 26(1): 119-134.
    • (2007) IJRR , vol.26 , Issue.1 , pp. 119-134
    • Liao, L.1    Fox, D.2    Kautz, H.A.3
  • 10
    • 33845303529 scopus 로고    scopus 로고
    • Fine-grained activity recognition by aggregating abstract object usage
    • Patterson, D. J.; Fox, D.; Kautz, H. A.; and Philipose, M. 2005. Fine-grained activity recognition by aggregating abstract object usage. In ISWC, 44-51.
    • (2005) ISWC , pp. 44-51
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    • Collective segmentation and labeling of distant entities in information extraction, 04-49, University of Massachusetts Amherst
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.