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ORCIDPattern Recognition Letters, Volume 87
Volume 87, February 2017
- Cheng-Lin Liu, Bin Luo
, Walter G. Kropatsch:
Special issue "Advances in graph-based pattern recognition". 1-3 - Marcello Pelillo, Ismail Elezi, Marco Fiorucci:
Revealing structure in large graphs: Szemerédi's regularity lemma and its use in pattern recognition. 4-11 - Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano, Manuel Curado:
The mutual information between graphs. 12-19 - Bo Jiang, Jin Tang, Aihua Zheng, Bin Luo:
Image representation and matching with geometric-edge random structure graph. 20-28 - Denis Bujoreanu, Hugo Dorez, Warda Boutegrabet, Driffa Moussata, Raphaël Sablong, David Rousseau:
Robust graph representation of images with underlying structural networks. Application to the classification of vascular networks of mice's colon. 29-37 - Sébastien Bougleux, Luc Brun, Vincenzo Carletti, Pasquale Foggia, Benoit Gaüzère, Mario Vento:
Graph edit distance as a quadratic assignment problem. 38-46 - William Jones, Aziem Chawdhary, Andy King:
Optimising the Volgenant-Jonker algorithm for approximating graph edit distance. 47-54 - Andreas Fischer, Kaspar Riesen, Horst Bunke:
Improved quadratic time approximation of graph edit distance by combining Hausdorff matching and greedy assignment. 55-62 - Yusuf Osmanlioglu, Ali Shokoufandeh:
Multilayer matching of metric structures using hierarchically well-separated trees. 63-70 - Michael Hecht:
A generalization of the most common subgraph distance and its application to graph editing. 71-78 - Carlos Francisco Moreno-García, Francesc Serratosa:
Obtaining the consensus of multiple correspondences between graphs through online learning. 79-86 - He Zhang, Peng Ren:
Game theoretic hypergraph matching for multi-source image correspondences. 87-95 - Lu Bai, Luca Rossi, Lixin Cui, Zhihong Zhang, Peng Ren, Xiao Bai, Edwin R. Hancock:
Quantum kernels for unattributed graphs using discrete-time quantum walks. 96-103 - Farzaneh Shoeleh, Masoud Asadpour:
Graph based skill acquisition and transfer Learning for continuous reinforcement learning domains. 104-116 - João Paulo Papa, Silas Evandro Nachif Fernandes, Alexandre Xavier Falcão:
Optimum-Path Forest based on k-connectivity: Theory and applications. 117-126 - Thiago de Paulo Faleiros, Rafael Geraldeli Rossi, Alneu de Andrade Lopes:
Optimizing the class information divergence for transductive classification of texts using propagation in bipartite graphs. 127-138 - Zhihong Zhang, Yiyang Tian, Lu Bai, Jianbing Xiahou, Edwin R. Hancock:
High-order covariate interacted Lasso for feature selection. 139-146 - Si-Bao Chen, Jing Wang, Cai-Yin Liu, Bin Luo:
Two-Dimensional Discriminant Locality Preserving Projection Based on ℓ1-norm Maximization. 147-154 - Ali Saglam, Nurdan Akhan Baykan:
Sequential image segmentation based on minimum spanning tree representation. 155-162 - Gang Chen, Haiying Zhang:
Category independent object discovery via background modeling. 163-170 - Liantao Wang, Jianfeng Lu, Xiangyu Li, Zhan Huan, Jiuzhen Liang, Shuyue Chen:
Learning arbitrary-shape object detector from bounding-box annotation by searching region-graph. 171-176 - Zhen Zhou, Yongzhen Huang, Liang Wang, Tieniu Tan:
Exploring generalized shape analysis by topological representations. 177-185 - Kamel Madi, Hamida Seba, Hamamache Kheddouci, Olivier Barge:
A Graph-based approach for Kite recognition. 186-194 - Meng Li, Howard Leung:
Graph-based approach for 3D human skeletal action recognition. 195-202 - Pau Riba, Josep Lladós, Alicia Fornés, Anjan Dutta:
Large-scale graph indexing using binary embeddings of node contexts for information spotting in document image databases. 203-211 - Dengdi Sun, Huadong Liang, Meiling Ge, Zhuanlian Ding, Wan-Ting Cai, Bin Luo:
Protein functional annotation refinement based on graph regularized ℓ1-norm PCA. 212-221 - Pierre-Anthony Grenier, Luc Brun, Didier Villemin:
Chemoinformatics and stereoisomerism: A stereo graph kernel together with three new extensions. 222-230
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