메뉴 건너뛰기




Volumn , Issue , 2009, Pages 85-92

Multi-graph based semi-supervised learning for activity recognition

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY RECOGNITION; CONTEXT-AWARE; DATA SETS; FEATURE SIMILARITIES; GRAPH-BASED; LABEL PROPAGATION; LABELED AND UNLABELED DATA; LABELED DATA; LABELED TRAINING DATA; MULTI-INSTANCE LEARNING; ON-BODY; PERFORMANCE OF CLASSIFIER; REAL-WORLD; SEMI-SUPERVISED LEARNING; UNLABELED DATA; WEARABLE COMPUTING;

EID: 70450177445     PISSN: 15504816     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISWC.2009.24     Document Type: Conference Paper
Times cited : (65)

References (21)
  • 3
    • 35448954467 scopus 로고    scopus 로고
    • Myexperience: A system for in situ tracing and capturing of user feedback on mobile phones
    • J. Froehlich, M. Y. Chen, S. Consolvo, B. Harrison, and J. A. Landay. Myexperience: A system for in situ tracing and capturing of user feedback on mobile phones. In MobiSys'07.
    • MobiSys'07
    • Froehlich, J.1    Chen, M.Y.2    Consolvo, S.3    Harrison, B.4    Landay, J.A.5
  • 5
    • 70450185354 scopus 로고    scopus 로고
    • Scalable recognition of daily activities with wearable sensors
    • T. Huynh, U. Blanke, and B. Schiele. Scalable recognition of daily activities with wearable sensors. In LoCA'07.
    • LoCA'07
    • Huynh, T.1    Blanke, U.2    Schiele, B.3
  • 6
    • 59249093678 scopus 로고    scopus 로고
    • Discovery of activity patterns using topic models
    • T. Huynh, M. Fritz, and B. Schiele. Discovery of activity patterns using topic models. In UbiComp'08.
    • UbiComp'08
    • Huynh, T.1    Fritz, M.2    Schiele, B.3
  • 8
    • 85069299479 scopus 로고    scopus 로고
    • Unsupervised, dynamic identification of physiological and activity context in wearable computing
    • A. Krause, D. P. Siewiorek, A. Smailagic, and J. Farringdon. Unsupervised, dynamic identification of physiological and activity context in wearable computing. In ISWC'03.
    • ISWC'03
    • Krause, A.1    Siewiorek, D.P.2    Smailagic, A.3    Farringdon, J.4
  • 9
    • 70349110125 scopus 로고    scopus 로고
    • Using rhythm awareness in long-term activity recognition
    • K. V. Laerhoven, D. Kilian, and B. Schiele. Using rhythm awareness in long-term activity recognition. In ISWC'08.
    • ISWC'08
    • Laerhoven, K.V.1    Kilian, D.2    Schiele, B.3
  • 12
    • 85138478363 scopus 로고    scopus 로고
    • Fast and scalable training of semi-supervised crfs with application to activity recognition
    • M. Mahdaviani and T. Choudhury. Fast and scalable training of semi-supervised crfs with application to activity recognition. In NIPS'07.
    • NIPS'07
    • Mahdaviani, M.1    Choudhury, T.2
  • 13
    • 33750826738 scopus 로고    scopus 로고
    • Activity recognition and monitoring using multiple sensors on different body positions
    • U. Maurer, A. Smailagic, D. P. Siewiorek, and M. Deisher. Activity recognition and monitoring using multiple sensors on different body positions. In BSN'06.
    • BSN'06
    • Maurer, U.1    Smailagic, A.2    Siewiorek, D.P.3    Deisher, M.4
  • 14
    • 43949136939 scopus 로고    scopus 로고
    • Discovering characteristic actions from on-body sensor data
    • D. Minnen, T. Starner, I. Essa, and C. Isbell. Discovering characteristic actions from on-body sensor data. In ISWC'06.
    • ISWC'06
    • Minnen, D.1    Starner, T.2    Essa, I.3    Isbell, C.4
  • 15
    • 59249105033 scopus 로고    scopus 로고
    • On using existing time-use study data for ubiquitous computing applications
    • K. Partridge and P. Golle. On using existing time-use study data for ubiquitous computing applications. In UbiComp'08.
    • UbiComp'08
    • Partridge, K.1    Golle, P.2
  • 17
    • 70349123070 scopus 로고    scopus 로고
    • Exploring semi-supervised and active learning for activity recognition
    • M. Stikic, K. V. Laerhoven, and B. Schiele. Exploring semi-supervised and active learning for activity recognition. In ISWC'08.
    • ISWC'08
    • Stikic, M.1    Laerhoven, K.V.2    Schiele, B.3
  • 18
    • 80053453206 scopus 로고    scopus 로고
    • Activity recognition from sparsely labeled data using multi-instance learning
    • M. Stikic and B. Schiele. Activity recognition from sparsely labeled data using multi-instance learning. In LoCA'09.
    • LoCA'09
    • Stikic, M.1    Schiele, B.2
  • 19
    • 80053177991 scopus 로고    scopus 로고
    • Recognizing activities and spatial context using wearable sensors
    • A. Subramanya, A. Raj, J. Blimes, and D. Fox. Recognizing activities and spatial context using wearable sensors. In UAI'06.
    • UAI'06
    • Subramanya, A.1    Raj, A.2    Blimes, J.3    Fox, D.4
  • 20
    • 4644241838 scopus 로고    scopus 로고
    • Activity recognition in the home using simple and ubiquitous sensors
    • E. M. Tapia, S. S. Intille, and K. Larson. Activity recognition in the home using simple and ubiquitous sensors. In Perva-sive'04.
    • Perva-sive'04
    • Tapia, E.M.1    Intille, S.S.2    Larson, K.3
  • 21
    • 26444592207 scopus 로고    scopus 로고
    • Learning from labeled and un-labeled data with label propagation
    • Technical report, CMU-CALD-02-107
    • X. Zhu and Z. Ghahramani. Learning from labeled and un-labeled data with label propagation. Technical report, CMU-CALD-02-107, 2002.
    • (2002)
    • Zhu, X.1    Ghahramani, Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.