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» Using Gaussian Processes to Optimize Expensive Functions
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PVLDB
2010
140views more  PVLDB 2010»
13 years 6 months ago
Optimal Top-K Query Evaluation for Weighted Business Processes
A Business Process (BP for short) consists of a set of activities that achieve some business goal when combined in a flow. Among all the (maybe infinitely many) possible executi...
Daniel Deutch, Tova Milo, Neoklis Polyzotis, Tom Y...
JMLR
2010
128views more  JMLR 2010»
13 years 2 months ago
Fluid Dynamics Models for Low Rank Discriminant Analysis
We consider the problem of reducing the dimensionality of labeled data for classification. Unfortunately, the optimal approach of finding the low-dimensional projection with minim...
Yung-Kyun Noh, Byoung-Tak Zhang, Daniel D. Lee
ACCV
2007
Springer
14 years 1 months ago
Conic Fitting Using the Geometric Distance
We consider the problem of fitting a conic to a set of 2D points. It is commonly agreed that minimizing geometrical error, i.e. the sum of squared distances between the points and...
Peter F. Sturm, Pau Gargallo
ISCI
2008
165views more  ISCI 2008»
13 years 7 months ago
Support vector regression from simulation data and few experimental samples
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
Gérard Bloch, Fabien Lauer, Guillaume Colin...
CVPR
2008
IEEE
14 years 9 months ago
Context and observation driven latent variable model for human pose estimation
Current approaches to pose estimation and tracking can be classified into two categories: generative and discriminative. While generative approaches can accurately determine human...
Abhinav Gupta, Trista Chen, Francine Chen, Don Kim...