메뉴 건너뛰기




Volumn , Issue , 2012, Pages 1490-1496

Extreme Learning Machine based fast object recognition

Author keywords

Extreme Learning Machine (ELM); Feature Extraction; Object Recognition; Radon Transform; Support Vector Machine (SVM)

Indexed keywords

CLASSIFICATION PERFORMANCE; COLOR SPACE; EXTREME LEARNING MACHINE; FAST LEARNING; FEATURE EXTRACTION METHODS; FEED-FORWARD NETWORK; GENERALIZATION PERFORMANCE; PARAMETER-TUNING; RADON TRANSFORM; REAL APPLICATIONS; SHAPE FEATURES; TESTING ACCURACY; TEXTURE FEATURES; TRAINING TIME;

EID: 84867638482     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (23)

References (31)
  • 2
    • 4644305581 scopus 로고    scopus 로고
    • Image retrieval using histograms of unicolor and bicolor blocks and directional changes in intensity gradient
    • H. Nezamabadi and E. Kabir, "Image retrieval using histograms of unicolor and bicolor blocks and directional changes in intensity gradient", Pattern Recognition Letters, vol. 25, no. 14, pp. 1547-1557, 2004.
    • (2004) Pattern Recognition Letters , vol.25 , Issue.14 , pp. 1547-1557
    • Nezamabadi, H.1    Kabir, E.2
  • 10
    • 34249753618 scopus 로고
    • Support vector networks
    • C. Cortes and V. Vapnik, "Support vector networks," Machine Learning, vol. 20, no. 3, pp. 273-297, 1995.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 14
    • 33745903481 scopus 로고    scopus 로고
    • Extreme learning machine: Theory and applications
    • G.-B. Huang, Q. Y. Zhu, and C. K. Siew, "Extreme learning machine: theory and applications," Neurocomputing, vol. 70, pp. 489-501, 2006.
    • (2006) Neurocomputing , vol.70 , pp. 489-501
    • Huang, G.-B.1    Zhu, Q.Y.2    Siew, C.K.3
  • 15
    • 78649492473 scopus 로고    scopus 로고
    • Optimization method based extreme learning machine for classification
    • G.-B. Huang, X. Ding, and H. Zhou, "Optimization method based extreme learning machine for classification," Neurocomputing, vol. 74, pp. 155-163, 2010.
    • (2010) Neurocomputing , vol.74 , pp. 155-163
    • Huang, G.-B.1    Ding, X.2    Zhou, H.3
  • 18
    • 34548158996 scopus 로고    scopus 로고
    • Convex incremental extreme learning machine
    • G.-B. Huang and L. Chen, "Convex incremental extreme learning machine," Neurocomputing, vol. 70, no. 16-18, pp. 3056-3062, 2007.
    • (2007) Neurocomputing , vol.70 , Issue.16-18 , pp. 3056-3062
    • Huang, G.-B.1    Chen, L.2
  • 19
    • 56549090053 scopus 로고    scopus 로고
    • Enhanced random search based incremental extreme learning machine
    • G.-B. Huang and L. Chen, "Enhanced random search based incremental extreme learning machine," Neurocomputing, vol. 71, pp. 3460-3468, 2008.
    • (2008) Neurocomputing , vol.71 , pp. 3460-3468
    • Huang, G.-B.1    Chen, L.2
  • 22
    • 33745118277 scopus 로고    scopus 로고
    • Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories
    • F-F. Li, R. Fergus, and P. Perona, "Learning generative visual models from few training examples: an incremental Bayesian approach tested on 101 object categories." Workshop on Generative-Model Based Vision, 2004.
    • Workshop on Generative-Model Based Vision, 2004
    • Li, F.-F.1    Fergus, R.2    Perona, P.3
  • 24
    • 0036843713 scopus 로고    scopus 로고
    • Shape-based image retrieval using generic Fourier descriptor
    • D. Zhang and G. Lu, "Shape-based image retrieval using generic Fourier descriptor," Signal Processing, vol. 17, pp. 825-848, 2002.
    • (2002) Signal Processing , vol.17 , pp. 825-848
    • Zhang, D.1    Lu, G.2
  • 26
    • 0029537130 scopus 로고
    • Fast computation of Legendre and Zernike moments
    • R. Mukundan and K. R. Ramakrishnan, "Fast computation of Legendre and Zernike moments," Pattern Recognition, vol. 28, pp. 1433-1442, 1995.
    • (1995) Pattern Recognition , vol.28 , pp. 1433-1442
    • Mukundan, R.1    Ramakrishnan, K.R.2
  • 30
    • 0034511128 scopus 로고    scopus 로고
    • Use of the two-dimensional Radon transform to generate a taxonomy of shape for the characterization of abrasive powder particles
    • V. F. Leavers, "Use of the two-dimensional Radon transform to generate a taxonomy of shape for the characterization of abrasive powder particles," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 12, pp. 1411-1423, 2000.
    • (2000) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.22 , Issue.12 , pp. 1411-1423
    • Leavers, V.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.