1839 search results - page 250 / 368 » Feature Selection in Clustering Problems |
ICCV
2011
IEEE
12 years 10 months ago
2011
IEEE
We address the problem of automatic 3D segmentation of a stack of electron microscopy sections of brain tissue. Unlike previous efforts, where the reconstruction is usually done o...
VLDB
2007
ACM
14 years 10 months ago
2007
ACM
Given a set of model graphs D and a query graph q, containment search aims to find all model graphs g D such that q contains g (q g). Due to the wide adoption of graph models, f...
NIPS
2007
13 years 11 months ago
2007
Automatic relevance determination (ARD) and the closely-related sparse Bayesian learning (SBL) framework are effective tools for pruning large numbers of irrelevant features leadi...
SIGMOD
2010
ACM
13 years 8 months ago
2010
ACM
Tuning tools attempt to configure a database to achieve optimal performance for a given workload. Selecting an optimal set of physical structures is computationally hard since it ...
ICANN
2005
Springer
14 years 3 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...