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PKDD
2009
Springer
88views Data Mining» more  PKDD 2009»
14 years 3 months ago
Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs
The Support Vector Machine error bound is a function of the margin and radius. Standard SVM algorithms maximize the margin within a given feature space, therefore the radius is fi...
Huyen Do, Alexandros Kalousis, Melanie Hilario
SGAI
2007
Springer
14 years 3 months ago
Escaping Local Optima: Constraint Weights vs. Value Penalties
Constraint Satisfaction Problems can be solved using either iterative improvement or constructive search approaches. Iterative improvement techniques converge quicker than the cons...
Muhammed Basharu, Inés Arana, Hatem Ahriz
PVLDB
2008
107views more  PVLDB 2008»
13 years 7 months ago
Constrained locally weighted clustering
Data clustering is a difficult problem due to the complex and heterogeneous natures of multidimensional data. To improve clustering accuracy, we propose a scheme to capture the lo...
Hao Cheng, Kien A. Hua, Khanh Vu
ICIP
2007
IEEE
14 years 10 months ago
Edge Preserving Filters using Geodesic Distances on Weighted Orthogonal Domains
We introduce a framework for image enhancement, which smooths images while preserving edge information. Domain (spatial) and range (feature) information are combined in one single...
Luca Bertelli, B. S. Manjunath
ICPR
2002
IEEE
14 years 10 months ago
A Windowed Weighted Approach for Approximate Cyclic String Matching
A method for measuring dissimilarities between cyclic strings is introduced. It computes a weighted mean between two (lower and upper) bounds of the exact cyclic edit distance, wh...
Ramón Alberto Mollineda, Enrique Vidal, Fra...