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» Adaptive Overrelaxed Bound Optimization Methods
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TIP
2008
154views more  TIP 2008»
13 years 9 months ago
Adaptive Local Linear Regression With Application to Printer Color Management
Abstract--Local learning methods, such as local linear regression and nearest neighbor classifiers, base estimates on nearby training samples, neighbors. Usually, the number of nei...
Maya R. Gupta, Eric K. Garcia, E. Chin
AAAI
2000
13 years 11 months ago
Iterative Flattening: A Scalable Method for Solving Multi-Capacity Scheduling Problems
One challenge for research in constraint-based scheduling has been to produce scalable solution procedures under fairly general representational assumptions. Quite often, the comp...
Amedeo Cesta, Angelo Oddi, Stephen F. Smith
PKDD
2009
Springer
138views Data Mining» more  PKDD 2009»
14 years 4 months ago
Margin and Radius Based Multiple Kernel Learning
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
Huyen Do, Alexandros Kalousis, Adam Woznica, Melan...
ISVC
2007
Springer
14 years 3 months ago
Image Compression Using Data-Dependent Triangulations
We present a method to speed up the computation of a high-quality data-dependent triangulation approximating an image using simulated annealing by probability distributions guided ...
Burkhard Lehner, Georg Umlauf, Bernd Hamann
PVLDB
2008
77views more  PVLDB 2008»
13 years 9 months ago
Efficient network aware search in collaborative tagging sites
The popularity of collaborative tagging sites presents a unique opportunity to explore keyword search in a context where query results are determined by the opinion of a network o...
Sihem Amer-Yahia, Michael Benedikt, Laks V. S. Lak...