Hierarchical hyperlingual-words for multi-modality face classification
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[1] Michael I. Jordan,et al. On Spectral Clustering: Analysis and an algorithm , 2001, NIPS.
[2] 王晓刚,et al. Coupled Information-Theoretic Encoding for Face Photo-Sketch Recognition , 2011 .
[3] Cordelia Schmid,et al. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[4] Silvio Savarese,et al. Cross-view action recognition via view knowledge transfer , 2011, CVPR 2011.
[5] Xiaofei He,et al. Locality Preserving Projections , 2003, NIPS.
[6] Shengcai Liao,et al. Illumination Invariant Face Recognition Using Near-Infrared Images , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Pietro Perona,et al. A Bayesian hierarchical model for learning natural scene categories , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[8] Yang Yang,et al. Learning semantic visual vocabularies using diffusion distance , 2009, CVPR.
[9] Anil K. Jain,et al. Heterogeneous Face Recognition Using Kernel Prototype Similarities , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Siu-Yeung Cho,et al. A face emotion tree structure representation with probabilistic recursive neural network modeling , 2010, Neural Computing and Applications.
[11] Quanquan Gu,et al. Learning the Shared Subspace for Multi-task Clustering and Transductive Transfer Classification , 2009, 2009 Ninth IEEE International Conference on Data Mining.
[12] Dahua Lin,et al. Inter-modality Face Recognition , 2006, ECCV.
[13] Dong Yi,et al. Face Matching Between Near Infrared and Visible Light Images , 2007, ICB.
[14] Jian Sun,et al. Face recognition with learning-based descriptor , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[15] Shimon Ullman,et al. Face Recognition: The Problem of Compensating for Changes in Illumination Direction , 1994, IEEE Trans. Pattern Anal. Mach. Intell..
[16] Chris H. Q. Ding,et al. A min-max cut algorithm for graph partitioning and data clustering , 2001, Proceedings 2001 IEEE International Conference on Data Mining.
[17] Andrew B. Kahng,et al. New spectral methods for ratio cut partitioning and clustering , 1991, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..
[18] M. Turk,et al. Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.
[19] Qingshan Liu,et al. Image retrieval via probabilistic hypergraph ranking , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[20] David J. Kriegman,et al. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.
[21] Harold L. Somers,et al. An introduction to machine translation , 1992 .
[22] Ming Shao,et al. A super-resolution based method to synthesize visual images from near infrared , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).
[23] Stan Z. Li,et al. Coupled Spectral Regression for matching heterogeneous faces , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[24] Matti Pietikäinen,et al. Learning mappings for face synthesis from near infrared to visual light images , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[25] Bernhard Schölkopf,et al. Learning with Hypergraphs: Clustering, Classification, and Embedding , 2006, NIPS.
[26] Ammad Ali,et al. Face Recognition with Local Binary Patterns , 2012 .
[27] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[28] Trevor Darrell,et al. The pyramid match kernel: discriminative classification with sets of image features , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[29] Shengcai Liao,et al. Heterogeneous Face Recognition from Local Structures of Normalized Appearance , 2009, ICB.
[30] Serge J. Belongie,et al. Higher order learning with graphs , 2006, ICML.