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» Objective reduction using a feature selection technique
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ICCV
2001
IEEE
16 years 5 months ago
Reconstructing Surfaces Using Anisotropic Basis Functions
Point sets obtained from computer vision techniques are often noisy and non-uniform. We present a new method of surface reconstruction that can handle such data sets using anisotr...
Huong Quynh Dinh, Greg Turk, Gregory G. Slabaugh
VLSM
2005
Springer
15 years 9 months ago
Incorporating Rigid Structures in Non-rigid Registration Using Triangular B-Splines
For non-rigid registration, the objects in medical images are usually treated as a single deformable body with homogeneous stiffness distribution. However, this assumption is inval...
Kexiang Wang, Ying He 0001, Hong Qin
ICDM
2002
IEEE
122views Data Mining» more  ICDM 2002»
15 years 8 months ago
Using Category-Based Adherence to Cluster Market-Basket Data
In this paper, we devise an efficient algorithm for clustering market-basket data. Different from those of the traditional data, the features of market-basket data are known to b...
Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen
CVPR
2005
IEEE
16 years 5 months ago
Discriminant Analysis with Tensor Representation
In this paper, we present a novel approach to solving the supervised dimensionality reduction problem by encoding an image object as a general tensor of 2nd or higher order. First...
Shuicheng Yan, Dong Xu, Qiang Yang, Lei Zhang, Xia...
KAIS
2008
221views more  KAIS 2008»
15 years 3 months ago
Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
Kun Zhang, Wei Fan