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» Approximate nearest neighbors using sparse representations
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SCALESPACE
2001
Springer
15 years 2 months ago
Gaussian Convolutions. Numerical Approximations Based on Interpolation
Abstract. Gaussian convolutions are perhaps the most often used image operators in low-level computer vision tasks. Surprisingly though, there are precious few articles that descri...
Rein van den Boomgaard, Rik van der Weij
SSDBM
2002
IEEE
122views Database» more  SSDBM 2002»
15 years 2 months ago
ATreeGrep: Approximate Searching in Unordered Trees
An unordered labeled tree is a tree in which each node has a string label and the parent-child relationship is significant, but the order among siblings is unimportant. This pape...
Dennis Shasha, Jason Tsong-Li Wang, Huiyuan Shan, ...
CVPR
2012
IEEE
13 years 2 days ago
Geometric understanding of point clouds using Laplace-Beltrami operator
In this paper, we propose a general framework for approximating differential operator directly on point clouds and use it for geometric understanding on them. The discrete approxi...
Jian Liang, Rongjie Lai, Tsz Wai Wong, Hongkai Zha...
87
Voted
ICIP
2005
IEEE
15 years 11 months ago
Nonlinear dimensionality reduction for classification using kernel weighted subspace method
We study the use of kernel subspace methods that learn low-dimensional subspace representations for classification tasks. In particular, we propose a new method called kernel weigh...
Guang Dai, Dit-Yan Yeung
76
Voted
DMKD
1999
ACM
108views Data Mining» more  DMKD 1999»
15 years 2 months ago
Classification as Mining and Use of Labeled Itemsets
We investigate the relationship between association and classification mining. The main issue in association mining is the discovery of interesting patterns of the data, so called...
Dimitris Meretakis, Beat Wüthrich