[1] LEE S L A, KOUZANI A Z, HU E J. Automated detection of lung nodules in computed tomography images: a review ［J］. Machine Vision and Applications, 2012, 23(1): 151-163.

[2] PENG ZH M, JING L, HE Y M, et al.. Superresolution fusion of multi-focus images based on multiscale sparse dictionary［J］. Opt. Precision Eng., 2014, 22(1): 169-176. (in Chinese)

[3] GONG W G, PAN F Y, LI J M. Single-image super-resolution reconstruction via double layer reconstructing ［J］. Opt. Precision Eng., 2014, 22(3): 720-729.(in Chinese)

[4] CHAVE R H, PONOMARYOV V. Super resolution image generation using wavelet domain interpolation with edge extraction via a sparse representation ［J］. IEEE Geoscience and Remote Sensing Letters, 2014, 11(10): 1777-1781.

[5] HAO W L, LI J W, QU X B, et al.. Fast iterative contourlet thresholding for compressed sensing MRI ［J］. Electronics Letters, 2013, 49(19): 1206-1208.

[6] GUO Y, WANG Y Y, NIE S Q, et al.. Automatic segmentation of a fetal echocardiogram using modified active appearance models and sparse representation ［J］. IEEE Transactions on Biomedical Engineering, 2014, 61(4): 1121-1133.

[7] VASILESCU M A O, TERZOPOULOS D. Multilinear subspace analysis of image ensembles ［C］. 2003 IEEE Computer Society Conference on Computer Vision and Pattem Recognition, 2003, 2: 93-99.

[8] LU H P, KONSTANTINOS N P, VENETSANOPOULOS A N. MPCA: Multilinear principal component analysis of tensor objects ［J］. IEEE Transactions on Neural Networks, 2008, 19(1): 18-39.

[9] NIE F P, XIANG SH M, SONG Y Q, et al.. Extracting the optimal dimensionality for local tensor discriminant analysis ［J］. Pattern Recognition, 2009, 42(1): 105-114.

[10] TAO D CH, LI X L, WU X D, et al.. Supervised tensor learning ［J］. Knowledge and Information Systems, 2007, 13(1): 1-42.

[11] TAO D CH, LI X L, WU X D, et al.. Tensor rank one discriminant analysis-a convergent method for discrimintive multilinear subspace selection ［J］. Neurocomputing, 2008, 71(10-12): 1866-1882.

[12] HOU CH P, NIE F P, ZHANG CH SH, et al.. Multiple rank multi-linear SVM for matrix data classification ［J］. Pattern Recognition, 2014, 47(1): 454-469.

[13] LATHAUWER L D, MOOR B D, VANDEWALLE J, et al.. A multilinear singular value decomposition ［J］. Siam Journal on Matrix Analysis and Application, 2000, 21(4): 1253-1278.

[14] VANNIEUWENHOVEN N, VANDEBRI L R, MEERBERGEN K, et al.. A New Truncation Strategy for the Higher-order Singular Value Decomposition ［J］. Siam Journal on Scientific Computing, 2012, 34(2): 1027-1052.

[15] ZHENG X, PENG ZH M. Image segmentation based on activity degree with pulse coupled neural networks ［J］. Opt. Precision Eng., 2013, 21(3): 821-827. (in Chinese)

[16] SANG Q B, LI CH F, WU X J. No-reference blurred image quality assessment based on gray level co-occurrence matrix ［J］. Pattern Recognition and Artificial Intelligence, 2013, 26(5): 492-497.(in Chinese)

[17] CHEN X C, UDUPA J K, BAGCI U, et al.. Medical image segmentation by combing graph cuts and oriented active appearance models ［J］. IEEE Transactions on Imaging Processing, 2012, 21(4): 2035-2046.

[18] IBRAGIMOV B, LIKAR B, PERNUS F, et al.. A game-theoretic framework for landmark-based image segmentation［J］. IEEE Transactions on Medical Imaging, 2012, 31(9): 1761-1776.