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CVPR
2012
IEEE
11 years 11 months ago
Boosting algorithms for simultaneous feature extraction and selection
The problem of simultaneous feature extraction and selection, for classifier design, is considered. A new framework is proposed, based on boosting algorithms that can either 1) s...
Mohammad J. Saberian, Nuno Vasconcelos
ICDM
2002
IEEE
448views Data Mining» more  ICDM 2002»
14 years 1 months ago
Feature Selection Algorithms: A Survey and Experimental Evaluation
In view of the substantial number of existing feature selection algorithms, the need arises to count on criteria that enables to adequately decide which algorithm to use in certai...
Luis Carlos Molina, Lluís Belanche, À...
VLDB
1999
ACM
174views Database» more  VLDB 1999»
14 years 1 months ago
Extending Practical Pre-Aggregation in On-Line Analytical Processing
On-Line Analytical Processing (OLAP) based on a dimensional view of data is being used increasingly for the purpose of analyzing very large amounts of data. To improve query perfo...
Torben Bach Pedersen, Christian S. Jensen, Curtis ...
CORR
2011
Springer
168views Education» more  CORR 2011»
13 years 3 months ago
Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection
We study the problem of selecting a subset of k random variables from a large set, in order to obtain the best linear prediction of another variable of interest. This problem can ...
Abhimanyu Das, David Kempe
SIGMOD
2001
ACM
108views Database» more  SIGMOD 2001»
14 years 9 months ago
PREFER: A System for the Efficient Execution of Multi-parametric Ranked Queries
Users often need to optimize the selection of objects by appropriately weighting the importance of multiple object attributes. Such optimization problems appear often in operation...
Vagelis Hristidis, Nick Koudas, Yannis Papakonstan...