148 search results - page 20 / 30 » Feature space perspectives for learning the kernel |
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
Kernel methods have been widely studied in the field of pattern recognition. These methods implicitly map, "the kernel trick," the data into a space which is more approp...
KES
2007
Springer
2007
Springer
Inductive Concept Retrieval and Query Answering with Semantic Knowledge Bases Through Kernel Methods
14 years 2 months ago
This work deals with the application of kernel methods to structured relational settings such as semantic knowledge bases expressed in Description Logics. Our method integrates a n...
SDM
2009
SIAM
14 years 5 months ago
2009
SIAM
Maximum margin clustering (MMC) has recently attracted considerable interests in both the data mining and machine learning communities. It first projects data samples to a kernel...
ECCV
2010
Springer
14 years 9 days ago
2010
Springer
Recent research has shown the effectiveness of using sparse coding(Sc) to solve many computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear sim...
JIIS
2006
13 years 8 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...