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» Possibilistic Clustering in Feature Space
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CVPR
2005
IEEE
14 years 9 months ago
Applying Neighborhood Consistency for Fast Clustering and Kernel Density Estimation
Nearest neighborhood consistency is an important concept in statistical pattern recognition, which underlies the well-known k-nearest neighbor method. In this paper, we combine th...
Kai Zhang, Ming Tang, James T. Kwok
IJCV
2008
157views more  IJCV 2008»
13 years 7 months ago
Pairwise Matching of 3D Fragments Using Cluster Trees
Abstract We propose a novel and efficient surface matching approach for reassembling broken solids as well as for matching assembly components using cluster trees of oriented point...
Simon Winkelbach, Friedrich M. Wahl
CIKM
2010
Springer
13 years 6 months ago
Visualization and clustering of crowd video content in MPCA subspace
This paper presents a novel approach for the visualization and clustering of crowd video contents by using multilinear principal component analysis (MPCA). In contrast to feature-...
Haiping Lu, How-Lung Eng, Myo Thida, Konstantinos ...
ICIP
2010
IEEE
13 years 5 months ago
Texture classification via patch-based sparse texton learning
Texture classification is a classical yet still active topic in computer vision and pattern recognition. Recently, several new texture classification approaches by modeling textur...
Jin Xie, Lei Zhang, Jane You, David Zhang
CVPR
2003
IEEE
14 years 9 months ago
Clustering Appearances of Objects Under Varying Illumination Conditions
We introduce two appearance-based methods for clustering a set of images of 3-D objects, acquired under varying illumination conditions, into disjoint subsets corresponding to ind...
Jeffrey Ho, Ming-Hsuan Yang, Jongwoo Lim, Kuang-Ch...