[1] SIVIC J, ZISSERMAN A. Video Google:a text retrieval approach to object matching in videos[C]//ICCV'03:Proceedings of the 9th International Conference on Computer Vision. Washington, DC:IEEE Computer Society, 2003, 2:1470-1477. [2] LAZEBNIK S, SCHMID C, PONCE J. Beyond bags of features:spatial pyramid matching for recognizing natural scene categories[C]//CVPR'06:Proceedings of the 2006 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway, NJ:IEEE, 2006:2169-2178. [3] YANG J C, YU K, GONG Y H, et al. Linear spatial pyramid matching using sparse coding for image classification[C]//CVPR'09:Proceedings of the 2009 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway, NJ:IEEE, 2009:1794-1801. [4] ZOU H, HASTIE T. Regularization and variable selection via the elastic net[J]. Journal of the Royal Statistical Society, 2005, 67(2):301-320. [5] ZHANG Z, LAI Z H, XU Y, et al. Discriminative elastic-net regularized linear regression[J]. IEEE Transactions on Image Processing, 2017, 26(3):1466-1481. [6] 张勇,张阳阳,程洪,等.基于非负弹性网稀疏编码算法的图像分类方法[J].计算机工程,2017,43(7):239-243.(ZHNAG Y, ZHANG Y Y, CHENG H, et al. Image classification method based on non-negative elastic net sparse coding algorithm[J]. Computer Engineering, 2017, 43(7):239-243.) [7] SHEN B, LIU B D, WANG Q F. Elastic net regularized dictionary learning for image classification[J]. Multimedia Tools and Applications, 2016, 75(15):8861-8874. [8] YU K, ZHANG T, GONG Y. Nonlinear learning using local coordinate coding[EB/OL].[2018-06-12]. http://www.doc88.com/p-6971813767934.html. [9] WANG J, YANG J, YU K, et al. Locality-constrained linear coding for image classification[C]//CVPR'10:Proceedings of the 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Piscataway, NJ:IEEE, 2010:3360-3367. [10] 刘培娜,刘国军,郭茂组,等.非负局部约束线性编码图像分类算法[J].自动化学报,2015,41(7):1235-1243.(LIU P N, LIU G J, GUO M Z, et al. Image classification based on non-negative locality constrained linear coding[J]. Acta Automatica Sinica, 2015, 41(7):1235-1243.) [11] WU J, REHG J M. Beyond the Euclidean distance:creating effective visual codebooks using the Histogram intersection kernel[C]//ICCV'09:Proceedings of the 2009 IEEE 12th International Conference on Computer Vision. Piscataway, NJ:IEEE, 2009:630-637. [12] CHEN H, XIE K, WANG H, et al. Scene image classification using locality-constrained linear coding based on histogram intersection[J]. Multimedia Tools and Applications, 2018,77(3):4081-4092. [13] LEE H, BATTLE A, RAINA R, et al. Efficient sparse coding algorithms[C]//NIPS'06:Proceedings of the 19th International Conference on Neural Information Processing Systems. Cambridge, MA:MIT Press, 2006:801-808. [14] GAO S, TSANG I W-H, CHIA L-T, et al. Local features are not lonely-Laplacian sparse coding for image classification[C]//CVPR'10:Proceedings of the 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Washington, DC:IEEE Computer Society, 2010:3555-3561. [15] HAN H, LIU S, GAN L. Non-negativity and dependence constrained sparse coding for image classification[J]. Journal of Visual Communication and Image Representation. 2015, 26(C):247-254. [16] 史莹.基于Laplacian稀疏编码的图像分类研究[D].武汉:武汉理工大学,2016:30-31.(SHI Y. Image classification based on Laplacian sparse coding[D].Wuhan:Wuhan University of Technology, 2016:30-31.) [17] CAI D. Four face databases in matlab format[DB/OL].[2018-03-29]. http://www.cad.zju.edu.cn/home/dengcai/Data/FaceData.htm. |