BMVC
2010
13 years 9 months ago
2010
We introduce a method for image retrieval that leverages the implicit information about object importance conveyed by the list of keyword tags a person supplies for an image. We p...
JCB
2008
13 years 10 months ago
2008
Controlled intra-nuclear organisation of proteins is critical for sustaining correct function of the cell. Proteins and RNA are transported by passive diffusion and associate with...
JIIS
2006
13 years 11 months ago
2006
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...
JCP
2008
13 years 11 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
ESANN
2003
14 years 25 days ago
2003
Abstract. We focus on covariance criteria for finding a suitable subspace for regression in a reproducing kernel Hilbert space: kernel principal component analysis, kernel partial...
IJCNN
2006
IEEE
14 years 5 months ago
2006
IEEE
— We consider the application of kernel canonical correlation analysis (K-CCA) to the supervised equalization of Wiener systems. Although a considerable amount of research has be...