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Volumn 32, Issue 4, 2010, Pages 763-765

About neighborhood counting measure metric and minimum risk metric

Author keywords

Distance measures; K Nearest Neighbors; Machine learning; MRM; NCM; Pattern recognition

Indexed keywords

COMPUTATIONAL LOADS; DISTANCE MEASURE; EMPIRICAL EVALUATIONS; K-NEAREST NEIGHBORS; K-NN ALGORITHM; MACHINE-LEARNING; MISCLASSIFICATIONS; RUNNING TIME; SIMILARITY MEASURE;

EID: 77649273622     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2009.69     Document Type: Review
Times cited : (7)

References (6)
  • 2
    • 33645990298 scopus 로고    scopus 로고
    • Nearest neighbors by neighborhood counting
    • June
    • H. Wang, "Nearest Neighbors by Neighborhood Counting," IEEE Trans. Pattern Analysis and Machine Intelligence, vol.28, no.6, pp. 942-953, June 2006, http://doi.ieeecomputersociety.org/10.1109/TPAMI.2006.126
    • (2006) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.28 , Issue.6 , pp. 942-953
    • Wang, H.1
  • 3
    • 0344551907 scopus 로고    scopus 로고
    • Minimum risk distance measure for object recognition
    • S. Mahamud and M. Hebert, "Minimum Risk Distance Measure for Object Recognition," Proc. Int'l Conf. Computer Vision, pp. 242-248, 2003, http://csdl.computer.org/comp/proceedings/iccv/2003/1950/01/195010242.
    • (2003) Proc. Int'l Conf. Computer Vision , pp. 242-248
    • Mahamud, S.1    Hebert, M.2
  • 5
    • 77649270141 scopus 로고    scopus 로고
    • Practical machine learning tools and techniques
    • second ed
    • I.H. Witten and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques, second ed. Morgan Kaufmann, 2005.
    • (2005) Morgan Kaufmann
    • Witten, I.H.1    Frank, E.2    Mining, D.3
  • 6
    • 77649275084 scopus 로고    scopus 로고
    • Neighborhood counting measure metric and minimum risk metric: An empirical comparison
    • DISI, Univ. of Trento Italy
    • A. Argentini and E. Blanzieri, "Neighborhood Counting Measure Metric and Minimum Risk Metric: An Empirical Comparison," Technical Report DISI-08-057, DISI, Univ. of Trento Italy, 2008.
    • (2008) Technical Report DISI-08-057
    • Argentini, A.1    Blanzieri, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.