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» Optimizing Feature Sets for Structured Data
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ICIP
2006
IEEE
14 years 10 months ago
Image Manifold Interpolation using Free-Form Deformations
An important class of image data sets depict an object undergoing deformation. When there are only a few underlying causes of the deformation, these images have a natural lowdimen...
Richard Souvenir, Qilong Zhang, Robert Pless
IFIP
1992
Springer
14 years 1 months ago
Controller Implementation by Communicating Asynchronous Sequential Circuits Generated from a Petri Net Specification of Required
This paper presents a completely systematic design procedure for asynchronous controllers. The initial step is the construction of a signal transition graph (STG, an interpreted P...
Jochen Beister, Ralf Wollowski
PODS
2000
ACM
120views Database» more  PODS 2000»
14 years 15 days ago
Indexing the Edges - A Simple and Yet Efficient Approach to High-Dimensional Indexing
In this paper, we propose a new tunable index scheme, called iMinMax , that maps points in high dimensional spaces to single dimension values determined by their maximum or minimu...
Beng Chin Ooi, Kian-Lee Tan, Cui Yu, Stépha...
DEXAW
2009
IEEE
173views Database» more  DEXAW 2009»
14 years 3 months ago
Automatic Cluster Number Selection Using a Split and Merge K-Means Approach
Abstract—The k-means method is a simple and fast clustering technique that exhibits the problem of specifying the optimal number of clusters preliminarily. We address the problem...
Markus Muhr, Michael Granitzer
ICML
2007
IEEE
14 years 9 months ago
Discriminant kernel and regularization parameter learning via semidefinite programming
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RKDA depends on the selection o...
Jieping Ye, Jianhui Chen, Shuiwang Ji