773 search results - page 46 / 155 » Kernel Change-point Analysis |
ICIC
2009
Springer
15 years 4 months ago
2009
Springer
Now the classification of different tumor types is of great importance in cancer diagnosis and drug discovery. It is more desirable to create an optimal ensemble for data analysis ...
JCP
2008
14 years 9 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...
ISBI
2006
IEEE
15 years 10 months ago
2006
IEEE
In brain imaging, cortical data such as the cortical thickness, cortical surface curvatures and surface coordinates have been mapped to a unit sphere for the purpose of visualizat...
ICDAR
2009
IEEE
15 years 4 months ago
2009
IEEE
The Fisher kernel is a generic framework which combines the benefits of generative and discriminative approaches to pattern classification. In this contribution, we propose to a...
ICPR
2006
IEEE
15 years 11 months ago
2006
IEEE
Multimodal distribution fitting is an important task in pattern recognition. For instance, the predetection which is the preliminary stage that limits image areas to be processed i...