Sciweavers

602 search results - page 19 / 121
» A Least-Squares Framework for Component Analysis
Sort
View
CVPR
2009
IEEE
13 years 10 months ago
Nonlinear Nonnegative Component Analysis
In this paper general solutions for Nonlinear Nonnegative Component Analysis for data representation and recognition are proposed. That is, motivated by a combination of the Nonne...
Stefanos Zafeiriou, Maria Petrou
IRI
2006
IEEE
14 years 1 months ago
Toward component non-functional interoperability analysis: A UML-based and goal-oriented approach
Component interoperability is the ability of two or more components to cooperate despite their differences in functional and non-functional aspects such as security or performanc...
Sam Supakkul, Ebenezer A. Oladimeji, Lawrence Chun...
BMCBI
2010
182views more  BMCBI 2010»
13 years 7 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...
COLT
2004
Springer
14 years 28 days ago
Statistical Properties of Kernel Principal Component Analysis
The main goal of this paper is to prove inequalities on the reconstruction error for Kernel Principal Component Analysis. With respect to previous work on this topic, our contribu...
Laurent Zwald, Olivier Bousquet, Gilles Blanchard
NIPS
2008
13 years 9 months ago
Robust Kernel Principal Component Analysis
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
Minh Hoai Nguyen, Fernando De la Torre