Sparse Relational Topical Coding on multi-modal data

Wang, 2014, Multi-modal mutual topic reinforce modeling for cross-media retrieval, 307 Yi, 2008, Harmonizing hierarchical manifolds for multimedia document semantics understanding and cross-media retrieval, IEEE Trans. Multimedia, 10, 437, 10.1109/TMM.2008.917359 Wang, 2015, Improving cross-modal correlation learning with hyperlinks, 1 Song, 2016, Sparse multi-modal topical coding for image annotation, Neurocomputing, 214, 162, 10.1016/j.neucom.2016.06.005 Putthividhy, 2010, Topic regression multi-modal latent dirichlet allocation for image annotation, 3408 Blei, 2003, Modeling annotated data, 127 Li, 2016, Aging face recognition: a hierarchical learning model based on local patterns selection, IEEE Trans. Image Process., 25, 2146, 10.1109/TIP.2016.2535284 Wang, 2007, Face recognition using spectral features, Pattern Recognit., 40, 2786, 10.1016/j.patcog.2007.01.023 Gong, 2016, Multi-modal curriculum learning for semi-supervised image classification, IEEE Trans. Image Process., 25, 3249, 10.1109/TIP.2016.2563981 Yu, 2013, Pairwise constraints based multiview features fusion for scene classification, Pattern Recognit., 46, 483, 10.1016/j.patcog.2012.08.006 Zheng, 2017, Hierarchical learning of multi-task sparse metrics for large-scale image classification, Pattern Recognit., 67, 97, 10.1016/j.patcog.2017.01.029 Ren, 2014, Cluscite: Effective citation recommendation by information network-based clustering, 821 Gui, 2014, Modeling topic diffusion in multi-relational bibliographic information networks, 649 Nallapati, 2008, Joint latent topic models for text and citations, 542 Tang, 2009, Topic distributions over links on web, 1010 Henzinger, 2005, Hyperlink analysis on the world wide web, 1 Papoulis, 2002 Chang, 2009, Relational topic models for document networks, volume 9, 81 Zhu, 2011, Sparse topical coding, 831 Liu, 2014, Multiview hessian discriminative sparse coding for image annotation, Comput. Vis. Image Understanding, 118, 50, 10.1016/j.cviu.2013.03.007 Zhang, 2015, Ensemble manifold regularized sparse low-rank approximation for multiview feature embedding, Pattern Recognit., 48, 3102, 10.1016/j.patcog.2014.12.016 Blei, 2003, Latent dirichlet allocation, J. Mach. Learn. Res., 3, 993 Wang, 2009, Decoupling sparsity and smoothness in the discrete hierarchical dirichlet process, 1982 Luo, 2013, Hierarchical structured sparse representation for t–s fuzzy systems identification, IEEE Trans. Fuzzy Syst., 21, 1032, 10.1109/TFUZZ.2013.2240690 Luo, 2014, Joint block structure sparse representation for multi-input–multi-output (MIMO) t–s fuzzy system identification, IEEE Trans. Fuzzy Syst., 22, 1387, 10.1109/TFUZZ.2013.2292973 Zhang, 2013, Sparse relational topic models for document networks, 670 Hotelling, 1936, Relations between two sets of variates, Biometrika, 28, 321, 10.2307/2333955 Sharma, 2012, Generalized multiview analysis: a discriminative latent space, 2160 Gui, 2016, Large-scale embedding learning in heterogeneous event data, 907 Sun, 2011, Pathsim: meta path-based top-k similarity search in heterogeneous information networks, Proceedings of the VLDB Endowment, 4, 992, 10.14778/3402707.3402736 J. Shang, M. Qu, J. Liu, L.M. Kaplan, J. Han, J. Peng, Meta-path guided embedding for similarity search in large-scale heterogeneous information networks, arXiv preprint arXiv:1610.09769 (2016). Chang, 2015, Heterogeneous network embedding via deep architectures, 119 Tang, 2015, Line: large-scale information network embedding, 1067 Bengio, 2009, Group sparse coding, 82 Lee, 2009, Exponential family sparse coding with application to self-taught learning., vol. 9, 1113 Blei, 2006, Correlated topic models, Adv. Neural Inf. Process. Syst., 18, 147 McAuley, 2012, Image labeling on a network: using social-network metadata for image classification, 828 Nowak, 2010, New strategies for image annotation: overview of the photo annotation task at imageCLEF Huiskes, 2008, The MIR flickr retrieval evaluation, 39 Everingham, 2010, The pascal visual object classes challenge, Int. J. Comput. Vis., 88, 303, 10.1007/s11263-009-0275-4 Weijer, 2006, Coloring local feature extraction, vol. 2, 334 Wang, 2017, Relational deep learning: a deep latent variable model for link prediction, 2688 Chen, 2013, Generalized relational topic models with data augmentation, 1273 Lu, 2015, Content-oriented multimedia document understanding through cross-media correlation, Multimed. Tools Appl., 74, 8105, 10.1007/s11042-014-2044-9 Simonyan, 2015, Very deep convolutional networks for large-scale image recognition Long, 2015, Learning transferable features with deep adaptation networks, 97