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Volumn , Issue , 2012, Pages 1843-1847

Tracking Tetrahymena pyriformis cells using decision trees

Author keywords

[No Author keywords available]

Indexed keywords

ASSIGNMENT PROBLEMS; BINARY CLASSIFIERS; CELL ASSOCIATIONS; CELL TRACKING; CURRENT FRAME; FEATURE DIFFERENCES; FEATURE SETS; HUNGARIAN ALGORITHM; TETRAHYMENA PYRIFORMIS;

EID: 84874575391     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (6)
  • 1
    • 0018491303 scopus 로고
    • Asymptotically optimal block quantization
    • A. Gersho. Asymptotically optimal block quantization. IEEE Transactions on Information Theory, 25(4):373-380, 1979.
    • (1979) IEEE Transactions on Information Theory , vol.25 , Issue.4 , pp. 373-380
    • Gersho, A.1
  • 2
    • 78149460887 scopus 로고    scopus 로고
    • Artificial magnetotactic motion control of Tetrahymena pyriformis using ferromagnetic nanoparticles: A tool for fabrication of microbiorobots
    • D. H. Kim, U. K. Cheang, L. Kohidai, D. Byun, and M. J. Kim. Artificial magnetotactic motion control of Tetrahymena pyriformis using ferromagnetic nanoparticles: A tool for fabrication of microbiorobots. Applied Physics Letters, 97(17):173702, 2010.
    • (2010) Applied Physics Letters , vol.97 , Issue.17 , pp. 173702
    • Kim, D.H.1    Cheang, U.K.2    Kohidai, L.3    Byun, D.4    Kim, M.J.5
  • 3
    • 0002719797 scopus 로고
    • The Hungarian method for the assignment problem
    • H. W. Kuhn. The Hungarian method for the assignment problem. Naval Research Logistic Quarterly, 2:83-97, 1955.
    • (1955) Naval Research Logistic Quarterly , vol.2 , pp. 83-97
    • Kuhn, H.W.1
  • 5
    • 84864495481 scopus 로고    scopus 로고
    • Motion control of tetrahymena pyriformis cells with artificial magnetotaxis: Model predictive control (mpc) approach
    • St. Paul, USA, May
    • Y. Ou, D. H. Kim, P. Kim, M. J. Kim, and A. A. Julius. Motion Control of Tetrahymena Pyriformis Cells with Artificial Magnetotaxis: Model Predictive Control (MPC) Approach. In IEEE International Conference on Robotics and Automation, St. Paul, USA, May 2012.
    • (2012) IEEE International Conference on Robotics and Automation
    • Ou, Y.1    Kim, D.H.2    Kim, P.3    Kim, M.J.4    Julius, A.A.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.