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ICPR
2008
IEEE
15 years 10 months ago
Semi-supervised marginal discriminant analysis based on QR decomposition
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
Rui Xiao, Pengfei Shi
IWDW
2005
Springer
15 years 9 months ago
Watermarking of 3D Irregular Meshes Based on Wavelet Multiresolution Analysis
In this paper, we propose a robust watermarking method for 3-D triangle surface meshes. Most previous methods based on the wavelet analysis can process only semi-regular meshes. Ou...
Min-Su Kim, Sébastien Valette, Ho-Youl Jung...
NPC
2004
Springer
15 years 9 months ago
The HKUST Frog Pond - A Case Study of Sensory Data Analysis
Many sensor network applications are data-centric, and data analysis plays an important role in these applications. However, it is a challenging task to find out what specific prob...
Wenwei Xue, Bingsheng He, Hejun Wu, Qiong Luo
PR
2008
129views more  PR 2008»
15 years 3 months ago
A comparison of generalized linear discriminant analysis algorithms
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
Cheong Hee Park, Haesun Park
CVPR
2005
IEEE
16 years 5 months ago
Fisher+Kernel Criterion for Discriminant Analysis
We simultaneously approach two tasks of nonlinear discriminant analysis and kernel selection problem by proposing a unified criterion, Fisher+Kernel Criterion. In addition, an eff...
Shu Yang, Shuicheng Yan, Dong Xu, Xiaoou Tang, Cha...