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125
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ICMCS
2006
IEEE
143views Multimedia» more  ICMCS 2006»
15 years 9 months ago
Object Recognition and Recovery by Skeleton Graph Matching
This paper presents a robust and efficient skeleton-based graph matching method for object recognition and recovery applications. The novel feature is to unify both object recogni...
Lei He, Chia Y. Han, William G. Wee
175
Voted
ICMCS
2005
IEEE
218views Multimedia» more  ICMCS 2005»
15 years 9 months ago
A Mid-level Visual Concept Generation Framework for Sports Analysis
The development of mid-level concepts helps to bridge the gap between low-level feature and high-level semantics in video analysis. Most existing work combines the customized mid-...
Xiaofeng Tong, Lingyu Duan, Hanqing Lu, Changsheng...
129
Voted
TVCG
2008
148views more  TVCG 2008»
15 years 3 months ago
Globally Optimal Surface Mapping for Surfaces with Arbitrary Topology
Computing smooth and optimal one-to-one maps between surfaces of same topology is a fundamental problem in graphics and such a method provides us a ubiquitous tool for geometric mo...
Xin Li, Yunfan Bao, Xiaohu Guo, Miao Jin, Xianfeng...
ICIP
2006
IEEE
16 years 5 months ago
Unsupervised Image Layout Extraction
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
David Liu, Datong Chen, Tsuhan Chen
112
Voted
CSDA
2010
157views more  CSDA 2010»
15 years 3 months ago
Robust estimation of constrained covariance matrices for confirmatory factor analysis
Confirmatory factor analysis (CFA) is a data anylsis procedure that is widely used in social and behavioral sciences in general and other applied sciences that deal with large qua...
E. Dupuis Lozeron, M. P. Victoria-Feser