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Volumn 10431 LNCS, Issue , 2017, Pages 378-390

A novel image classification method with CNN-XGBoost model

Author keywords

Convolutional Neural Network; eXtreme Gradient Boosting; Image classification

Indexed keywords

CLASSIFICATION (OF INFORMATION); CONVOLUTION; DIGITAL FORENSICS; ELECTRONIC CRIME COUNTERMEASURES; IMAGE PROCESSING; NEURAL NETWORKS;

EID: 85028465803     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-64185-0_28     Document Type: Conference Paper
Times cited : (128)

References (20)
  • 1
    • 33745805403 scopus 로고    scopus 로고
    • A fast learning algorithm for deep belief nets
    • Hinton, G.E., Osindero, S., Teh, Y.W.: A fast learning algorithm for deep belief nets. Neural Comput. 18(7), 1527–1554 (2006)
    • (2006) Neural Comput , vol.18 , Issue.7 , pp. 1527-1554
    • Hinton, G.E.1    Osindero, S.2    Teh, Y.W.3
  • 4
    • 84954133710 scopus 로고    scopus 로고
    • Efficient saliency-based object detection in remote sensing images using deep belief networks
    • Diao, W., Sun, X., Zheng, X., et al.: Efficient saliency-based object detection in remote sensing images using deep belief networks. IEEE Geosci. Remote Sens. Lett. 13(2), 137– 141 (2016)
    • (2016) IEEE Geosci. Remote Sens. Lett , vol.13 , Issue.2 , pp. 137-141
    • Diao, W.1    Sun, X.2    Zheng, X.3
  • 5
    • 84987990645 scopus 로고    scopus 로고
    • Face recognition based on deep belief network combined with center-symmetric local binary pattern
    • Park, J., Jin, H., Jeong, Y. S., Khan, M. (eds.), Springer, Singapore
    • Li, C., Wei, W., Wang, J., Tang, W., Zhao, S.: Face recognition based on deep belief network combined with center-symmetric local binary pattern. In: Park, J., Jin, H., Jeong, Y. S., Khan, M. (eds.) Advanced Multimedia and Ubiquitous Engineering. LNEE, vol. 393, pp. 277–283. Springer, Singapore (2016). doi:10.1007/978-981-10-1536-6_37
    • (2016) Advanced Multimedia and Ubiquitous Engineering. LNEE , vol.393 , pp. 277-283
    • Li, C.1    Wei, W.2    Wang, J.3    Tang, W.4    Zhao, S.5
  • 8
    • 84976609902 scopus 로고    scopus 로고
    • EXtreme gradient boosting for identifying individual users across different digital devices
    • Cui, B., Zhang, N., Xu, J., Lian, X., Liu, D. (eds.), Springer, Cham
    • Song, R., Chen, S., Deng, B., Li, L.: eXtreme gradient boosting for identifying individual users across different digital devices. In: Cui, B., Zhang, N., Xu, J., Lian, X., Liu, D. (eds.) WAIM 2016, Part I. LNCS, vol. 9658, pp. 43–54. Springer, Cham (2016). doi:10.1007/978-3-319-39937-9_4
    • (2016) WAIM 2016, Part I. LNCS , vol.9658 , pp. 43-54
    • Song, R.1    Chen, S.2    Deng, B.3    Li, L.4
  • 12
    • 0023877474 scopus 로고
    • A back-propagation programmed network that simulates response properties of a subset of posterior parietal neurons
    • Zipser, D., Andersen, R.A.: A back-propagation programmed network that simulates response properties of a subset of posterior parietal neurons. Nature 331(6158), 679–684 (1988)
    • (1988) Nature , vol.331 , Issue.6158 , pp. 679-684
    • Zipser, D.1    Andersen, R.A.2
  • 14
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • Lecun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278–2324 (1998)
    • (1998) Proc. IEEE , vol.86 , Issue.11 , pp. 2278-2324
    • Lecun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 15
    • 84959533227 scopus 로고    scopus 로고
    • Pcanet: A simple deep learning baseline for image classification
    • Chan, T.H., Jia, K., Gao, S., et al.: Pcanet: a simple deep learning baseline for image classification. IEEE Trans. Image Process. 24(12), 5017–5032 (2015)
    • (2015) IEEE Trans. Image Process , vol.24 , Issue.12 , pp. 5017-5032
    • Chan, T.H.1    Jia, K.2    Gao, S.3
  • 17
    • 84978472842 scopus 로고    scopus 로고
    • A new design based-SVM of the CNN classifier architecture with dropout for offline arabic handwritten recognition
    • Elleuch, M., Maalej, R., Kherallah, M.: A new design based-SVM of the CNN classifier architecture with dropout for offline arabic handwritten recognition. Procedia Comput. Sci. 80, 1712–1723 (2016)
    • (2016) Procedia Comput. Sci , vol.80 , pp. 1712-1723
    • Elleuch, M.1    Maalej, R.2    Kherallah, M.3
  • 19
    • 33746600649 scopus 로고    scopus 로고
    • Reducing the dimensionality of data with neural networks
    • Hinton, G.E., Salakhutdinov, R.R.: Reducing the dimensionality of data with neural networks. Science 313(5786), 504–507 (2006)
    • (2006) Science , vol.313 , Issue.5786 , pp. 504-507
    • Hinton, G.E.1    Salakhutdinov, R.R.2
  • 20
    • 77956002520 scopus 로고    scopus 로고
    • Learning multiple layers of features from tiny images. Master’s thesis
    • Krizhevsky, A.: Learning multiple layers of features from tiny images. Master’s thesis, pp. 30–35. University of Toronto (2009)
    • (2009) University of Toronto , pp. 30-35
    • Krizhevsky, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.