22 search results - page 3 / 5 » Canonical Correlation Analysis for Multiview Semisupervised ... |
PAMI
2008
13 years 5 months ago
2008
In this paper, we develop a new effective multiple kernel learning algorithm. First, we map the input data into m different feature spaces by m empirical kernels, where each genera...
JCP
2008
13 years 5 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...
ICIP
2008
IEEE
14 years 7 months ago
2008
IEEE
We present a novel approach to the problem of detection of visual similarity between a template image, and patches in a given image. The method is based on the computation of a lo...
MICCAI
2010
Springer
13 years 3 months ago
2010
Springer
Modeling and analyzing surgeries based on signals that are obtained automatically from the operating room (OR) is a field of recent interest. It can be valuable for analyzing and u...
ICASSP
2009
IEEE
14 years 19 hour ago
2009
IEEE
The mean of a data set is one trivial representation of data from one class. Recently, mutual interdependence analysis (MIA) has been successfully used to extract more involved re...