Computer Science ›› 2021, Vol. 48 ›› Issue (1): 233-240.doi: 10.11896/jsjkx.200800211
• Artificial Intelligence • Previous Articles Next Articles
ZHANG Fan1,2,3, HE Wen-qi1,3, JI Hong-bing3, LI Dan-ping4, WANG Lei1,2,3
CLC Number:
[1] DONG X,ZHU L,SONG X,et al.Adaptive CollaborativeSimilarity Learning for Unsupervised Multi-view Feature Selection[C]//The International Joint Conference on Artificial Intelligence.2018:2064-2070. [2] LIU D,QIN R,CHEN X,et al.Generation of Three-dimention Vehicle Panorama[J].Computer Science,2017,44(4):302-305. [3] WANG J H,YAN D Q,LIU D S H,et al.Algorithm with Discriminative Analysis Dictionary Learning by Fusing Extreme Learning Machine[J].Computer Science,2020,47(5):137-143. [4] LI Y,GUO Y Q,GUO J,et al.CRF with locality-consistent dictionary learning for semantic segmentation[C]//2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR).Kuala Lumpur,2015:509-513. [5] AHARON M,ELAD M,BRUCKSTEIN A.K-SVD:An algo-rithm for designing overcomplete dictionaries for sparse representation[J].IEEE Transactions on Signal Processing,2006,54(11):4311-4322. [6] ZHANG Q,LI B X.Discriminative K-SVD for dictionary lear-ning in face recognition[C]//2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition(CVPR).San Francisco,CA.IEEE,2010:2691-2698. [7] JIANG Z L,LIN Z,DAVIS L S.Label Consistent K-SVD:Learning a Discriminative Dictionary for Recognition[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2013,35(11):2651-2664. [8] DONG J,WANG W W,DAI W.Analysis SimCO:A new algorithm for analysis dictionary learning[C]//2014 IEEE International Conference on Acoustics,Speech and Signal Processing (ICASSP),Florence.IEEE,2014:7193-7197. [9] SHEKHAR S,PATEL V M,CHELLAPPA R.Analysis sparse coding models for image-based classification[C]//2014 IEEE International Conference on Image Processing (ICIP),Paris.IEEE,2014:5207-5211. [10] GU S H,ZHANG L,ZUO W M,et al.Projective dictionary pair learning for pattern classification[C]//Proc.Conf.Neural Information Processing Systems.Montreal,QC,Canada,2014. [11] SHI Y,GAO Y,YANG Y,et al.Multimodal Sparse Representa-tion-Based Classification for Lung Needle Biopsy Images[J].IEEE Transactions on Biomedical Engineering,2013,60(10):2675-2685. [12] JING X Y,HU R M,WU F,et al.Uncorrelated multi-view discrimination dictionary learning for recognition[C]//Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI).2014:2787-2795. [13] JIA Y,SALZMANN M,DARRELL T.Factorized latent spaces with structured sparsity[C]//Advances in neural information processing systems (NIPS).2010:982-990. [14] ZHENG J J,JIANG Z L,et al.Cross-View Action Recognition via Transferable Dictionary Learning[J].IEEE Transactions on Image Processing,2016,25(6):2542-2556. [15] ZHUANG Y,WANG Y,WU F,et al.Supervised coupled dictionary learning with group structures for multi-modal retrieval[C]//AAAI Conference on Artificial Intelligence (AAAI).2013:1070-1076. [16] ZHENG J,JIANG Z.Learning View-Invariant Sparse Representations for Cross-View Action Recognition[C]// IEEE International Conference on Computer Vision.IEEE,2013:3176-3183. [17] ZHANG H C,NASRABADI N M,ZHANG Y N,et al.Multi-observation visual recognition via joint dynamic sparse representation[C]//2011 International Conference on Computer Vision(ICCV).Barcelona:IEEE,2011:595-602. [18] JING X Y,HU R M,WU F,et al.Uncorrelated multi-view discrimination dictionary learning for recognition[C]//Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI).2014:2787-2795. [19] GU S,ZHANG L,ZUO W,et al.Projective dictionary pairlearning for pattern classification[C]//Neural Information Processing Systems.2014:793-801. [20] CHEN B,LI J,MA B,et al.Discriminative dictionary pair lear-ning based on differentiable support vector function for visual reco-gnition[J].Neurocomputing,2017,272(10):306-313. [21] SUN Y,ZHANG Z,JIANG W,et al.Robust Discriminative Projective Dictionary Pair Learning by Adaptive Representations[C]//International Conference on Pattern Recognition.2018:621-626. [22] ZHU X,JING X,WU F,et al.Multi-Kernel Low-Rank Dictionary Pair Learning for Multiple Features Based Image Classification[C]//National Conference on Artificial Intelligence.2017:2970-2976. [23] WANG Q Y,GUO Y Q,WANG J J,et al.Multi-View Analysis Dictionary Learning for Image Classification[J].IEEE Access,2018,6:20174-20183. [24] LI Z M,LAI Z H,XU Y,et al.A Locality-Constrained and Label Embedding Dictionary Learning Algorithm for Image Classification[J].IEEE Transactions on Neural Networks and Lear-ning Systems,2017,28(2):278-293. [25] LI Z M,ZHANG Z,QIN J,et al.Discriminative Fisher Embedding Dictionary Learning Algorithm for Object Recognition[J].IEEE Transactions on Neural Networks and Learning Systems,2020,31(3):786-800. [26] SHEKHAR S,PATEL V M,NASRABADI N M,et al.JointSparse Representation for Robust Multimodal Biometrics Recognition[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2014,36(1):113-126. [27] BAHRAMPOUR S,NASRABADI N M,RAY A,et al.Multimodal Task-Driven Dictionary Learning for Image Classification[J].IEEE Transactions on Image Processing,2016,25(1):24-38. [28] HAGHIGHAT M,ABDEL-MOTTALEB M,ALHALABI W.Discriminant Correlation Analysis:Real-Time Feature Level Fusion for Multimodal Biometric Recognition[J].IEEE Transactions on Information Forensics and Security,2016,11(9):1984-1996. [29] LI Y,NIE F,HUANG H,et al.Large-scale multi-view spectral clustering via bipartite graph[C]//Twenty-ninth Aaai Confe-rence on Artificial Intelligence.AAAI Press,2015. [30] FEI-FEI L,FERGUS R,PERONA P.Learning generative visual models from few training examples:An incremental bayesian approach tested on 101 object categories[J].Computer Vision and Image Understanding,2007,106(1):59-70. [31] WANG L,LI M,JI H,et al.When collaborative representation meets subspace projection:A novel supervised framework of graph construction augmented by anti-collaborative representation[J].Neurocomputing,2019,328:157-170. |
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