625 search results - page 10 / 125 » Large-scale manifold learning |
ICML
2003
IEEE
14 years 10 months ago
2003
IEEE
Logistic Regression (LR) has been widely used in statistics for many years, and has received extensive study in machine learning community recently due to its close relations to S...
ECML
2007
Springer
14 years 4 months ago
2007
Springer
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
SC
2005
ACM
14 years 3 months ago
2005
ACM
Terascale simulations produce data that is vast in spatial, temporal, and variable domains, creating a formidable challenge for subsequent analysis. Feature extraction as a data r...
ECCV
2010
Springer
13 years 12 months ago
2010
Springer
Abstract. The Fisher kernel (FK) is a generic framework which combines the benefits of generative and discriminative approaches. In the context of image classification the FK was s...
AUSAI
2008
Springer
13 years 12 months ago
2008
Springer
Abstract. The much-publicized Netflix competition has put the spotlight on the application domain of collaborative filtering and has sparked interest in machine learning algorithms...