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Digital resources serving performance assessing based on fuzzy neural networks
Found in: 2012 IEEE International Conference on Granular Computing (GrC-2012)
By Shiwei Zhu,Yanqing Zhao,Junfeng Yu,Lei Wang,Moji Wei,Aiping Wang
Issue Date:August 2012
pp. 682-687
This paper is innovatively to develop a new hybrid performance evaluation method in the literature of assessing the digital resources serving performances. The proposed method employs the hierarchical evaluation method based on fuzzy rules and artificial n...
SuperMatching: Feature Matching Using Supersymmetric Geometric Constraints
Found in: IEEE Transactions on Visualization and Computer Graphics
By Zhi-Quan Cheng, Yin Chen,R. R. Martin, Yu-Kun Lai, Aiping Wang
Issue Date:November 2013
pp. 1885-1894
Feature matching is a challenging problem at the heart of numerous computer graphics and computer vision applications. We present the SuperMatching algorithm for finding correspondences between two sets of features. It does so by considering triples or hig...