848 search results - page 52 / 170 » Feature selection in a kernel space |
ECWEB
2009
Springer
14 years 4 months ago
2009
Springer
Abstract. Alternating least squares (ALS) is a powerful matrix factorization (MF) algorithm for both implicit and explicit feedback based recommender systems. We show that by using...
EWCBR
2006
Springer
14 years 1 months ago
2006
Springer
Feature selection for unsupervised tasks is particularly challenging, especially when dealing with text data. The increase in online documents and email communication creates a nee...
CVPR
2004
IEEE
14 years 12 months ago
2004
IEEE
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...
ICPR
2004
IEEE
14 years 11 months ago
2004
IEEE
Feature selection is a critical component of many pattern recognition applications. There are two distinct mechanisms for feature selection, namely the wrapper method and the filt...
ICIP
2007
IEEE
14 years 4 months ago
2007
IEEE
When the appearances of the tracked object and surrounding background change during tracking, fixed feature space tends to cause tracking failure. To address this problem, we prop...