暂无分享,去创建一个
[1] Luc Brun,et al. Hierarchical Bag of Paths for Kernel Based Shape Classification , 2008, SSPR/SPR.
[2] Jean Ponce,et al. A graph-matching kernel for object categorization , 2011, 2011 International Conference on Computer Vision.
[3] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[4] Thomas Gärtner,et al. A survey of kernels for structured data , 2003, SKDD.
[5] Risi Kondor,et al. The Multiscale Laplacian Graph Kernel , 2016, NIPS.
[6] Kaspar Riesen,et al. Improving vector space embedding of graphs through feature selection algorithms , 2011, Pattern Recognit..
[7] Edwin R. Hancock,et al. Backtrackless Walks on a Graph , 2013, IEEE Transactions on Neural Networks and Learning Systems.
[8] Kaspar Riesen,et al. Towards the unification of structural and statistical pattern recognition , 2012, Pattern Recognit. Lett..
[9] Nello Cristianini,et al. Learning Semantic Similarity , 2002, NIPS.
[10] Francesca Odone,et al. Histogram intersection kernel for image classification , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).
[11] Massimo Piccardi,et al. Discriminative prototype selection methods for graph embedding , 2013, Pattern Recognit..
[12] Kurt Mehlhorn,et al. Efficient graphlet kernels for large graph comparison , 2009, AISTATS.
[13] Abdolreza Mirzaei,et al. Hierarchical graph embedding in vector space by graph pyramid , 2017, Pattern Recognit..
[14] Mario Vento,et al. Graph Matching and Learning in Pattern Recognition in the Last 10 Years , 2014, Int. J. Pattern Recognit. Artif. Intell..
[15] Minsu Cho,et al. Reweighted Random Walks for Graph Matching , 2010, ECCV.
[16] Ernest Valveny,et al. Graph embedding in vector spaces by node attribute statistics , 2012, Pattern Recognit..
[17] Jitendra Malik,et al. Shape matching and object recognition using shape contexts , 2010, 2010 3rd International Conference on Computer Science and Information Technology.
[18] John D. Lafferty,et al. Diffusion Kernels on Statistical Manifolds , 2005, J. Mach. Learn. Res..
[19] Salvatore Tabbone,et al. Graph Embedding Using Constant Shift Embedding , 2010, ICPR Contests.
[20] Edwin R. Hancock,et al. A Riemannian approach to graph embedding , 2007, Pattern Recognit..
[21] Horst Bunke,et al. Bridging the Gap between Graph Edit Distance and Kernel Machines , 2007, Series in Machine Perception and Artificial Intelligence.
[22] Fernando De la Torre,et al. Deformable Graph Matching , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[23] Robert P. W. Duin,et al. The Dissimilarity Representation for Pattern Recognition - Foundations and Applications , 2005, Series in Machine Perception and Artificial Intelligence.
[24] E. Ordentlich,et al. Inequalities for the L1 Deviation of the Empirical Distribution , 2003 .
[25] Natasa Przulj,et al. Biological network comparison using graphlet degree distribution , 2007, Bioinform..
[26] Wan-Jui Lee,et al. A Labelled Graph Based Multiple Classifier System , 2009, MCS.
[27] 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).
[28] Kurt Mehlhorn,et al. Data Structures and Algorithms 2: Graph Algorithms and NP-Completeness , 1984, EATCS Monographs on Theoretical Computer Science.
[29] Hichem Sahbi,et al. High order graphlets for pattern classification , 2015, 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR).
[30] Zaïd Harchaoui,et al. Image Classification with Segmentation Graph Kernels , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[31] Horst Bunke,et al. A Unified Framework for Strengthening Topological Node Features and Its Application to Subgraph Isomorphism Detection , 2013, GbRPR.
[32] S. V. N. Vishwanathan,et al. Graph kernels , 2007 .
[33] Haibin Ling,et al. Shape Classification Using the Inner-Distance , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[34] Karsten M. Borgwardt,et al. Fast subtree kernels on graphs , 2009, NIPS.
[35] Kaspar Riesen,et al. Bipartite Graph Matching for Computing the Edit Distance of Graphs , 2007, GbRPR.
[36] Francesc Comellas,et al. Reconstruction of Networks from Their Betweenness Centrality , 2008, EvoWorkshops.
[37] Brendan D. McKay,et al. Practical graph isomorphism, II , 2013, J. Symb. Comput..
[38] Alexander J. Smola,et al. Kernels and Regularization on Graphs , 2003, COLT.
[39] Hans-Peter Kriegel,et al. Shortest-path kernels on graphs , 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).
[40] Kaspar Riesen,et al. Graph Classification by Means of Lipschitz Embedding , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[41] Thomas Gärtner,et al. Cyclic pattern kernels for predictive graph mining , 2004, KDD.
[42] Gabriela Csurka,et al. Visual categorization with bags of keypoints , 2002, eccv 2004.
[43] Radu Horaud,et al. Topologically-robust 3D shape matching based on diffusion geometry and seed growing , 2011, CVPR 2011.
[44] Edwin R. Hancock,et al. Pattern Vectors from Algebraic Graph Theory , 2005, IEEE Trans. Pattern Anal. Mach. Intell..
[45] Terry Caelli,et al. An eigenspace projection clustering method for inexact graph matching , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[46] Eric Saund. A Graph Lattice Approach to Maintaining and Learning Dense Collections of Subgraphs as Image Features , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[47] Jean-Yves Ramel,et al. Fuzzy multilevel graph embedding , 2013, Pattern Recognit..
[48] Chunfeng Yuan,et al. Human Action Recognition Based on Context-Dependent Graph Kernels , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[49] Mark E. J. Newman. A measure of betweenness centrality based on random walks , 2005, Soc. Networks.
[50] Mario Vento,et al. Thirty Years Of Graph Matching In Pattern Recognition , 2004, Int. J. Pattern Recognit. Artif. Intell..
[51] Kaspar Riesen,et al. IAM Graph Database Repository for Graph Based Pattern Recognition and Machine Learning , 2008, SSPR/SPR.