39 search results - page 1 / 8 » Selecting Features by Vertical Compactness of Data |
66
Voted
KDD
1997
ACM
15 years 2 months ago
1997
ACM
Feature selection is a data preprocessing step for classi cation and data mining tasks. Traditionally, feature selection is done by selecting a minimum number of features that det...
83
Voted
ESANN
2007
14 years 11 months ago
2007
A new efficient unsupervised feature selection method is proposed to handle transactional data. The proposed feature selection method introduces a new Data Distribution Factor (DDF...
86
Voted
SBBD
2004
14 years 11 months ago
2004
The amount of data collected in the last decades has become a source of valuable information, allowing organizations to improve their competitiveness. However, the associated data...
119
Voted
ECCV
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. This paper presents a simple, yet effective method of building a codebook for pairs of spatially close SIFT descriptors. Integrating such codebook into the popular bag-o...
76
Voted
ISNN
2007
Springer
15 years 4 months ago
2007
Springer
In this paper, we present two novel memetic algorithms (MAs) for gene selection. Both are synergies of Genetic Algorithm (wrapper methods) and local search methods (filter methods...