Decomposition of Complex Line Drawings with Hidden Lines for 3D Planar-Faced Manifold Object Reconstruction
Jianzhuang Liu; Yu Chen; Xiaoou Tang
刊名IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
2011
卷号33期号:1页码:3-15
英文摘要Discriminant feature extraction plays a central role in pattern recognition and classification. Linear Discriminant Analysis (LDA) is a traditional algorithm forsupervised feature extraction. Recently, unlabeled data have been utilized to improve LDA. However, the intrinsic problems of LDA still exist and only the similarity among the unlabeled data is utilized. In this paper, we propose a novel algorithm, called Semisupervised Semi-Riemannian Metric Map (S(3)RMM), following the geometric framework of semi-Riemannian manifolds. S(3)RMM maximizes the discrepancy of the separability and similarity measures of scatters formulated by using semi-Riemannian metric tensors. The metric tensor of each sample is learned via semisupervised regression. Our method can also be a general framework for proposing new semisupervised algorithms, utilizing the existing discrepancy-criterion-based algorithms. The experiments demonstrated on faces and handwritten digits show that S(3)RMM is promising for semisupervised feature extraction.
收录类别SCI
原文出处http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5432194
语种英语
内容类型期刊论文
源URL[http://ir.siat.ac.cn:8080/handle/172644/3176]  
专题深圳先进技术研究院_集成所
作者单位IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
推荐引用方式
GB/T 7714
Jianzhuang Liu,Yu Chen,Xiaoou Tang. Decomposition of Complex Line Drawings with Hidden Lines for 3D Planar-Faced Manifold Object Reconstruction[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,2011,33(1):3-15.
APA Jianzhuang Liu,Yu Chen,&Xiaoou Tang.(2011).Decomposition of Complex Line Drawings with Hidden Lines for 3D Planar-Faced Manifold Object Reconstruction.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,33(1),3-15.
MLA Jianzhuang Liu,et al."Decomposition of Complex Line Drawings with Hidden Lines for 3D Planar-Faced Manifold Object Reconstruction".IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 33.1(2011):3-15.
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