4 search results - page 1 / 1 » A kernelized maximal-figure-of-merit learning approach based... |
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We propose a kernelized maximal-figure-of-merit (MFoM) learning approach to efficiently training a nonlinear model using subspace distance minimization. In particular, a fixed,...
ICMCS
2005
IEEE
13 years 10 months ago
2005
IEEE
In this paper we present a novel framework for generic object class detection by integrating Kernel PCA with AdaBoost. The classifier obtained in this way is invariant to changes...
ICCV
2005
IEEE
14 years 6 months ago
2005
IEEE
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
TNN
2011
12 years 11 months ago
2011
Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature rep...