414 search results - page 18 / 83 » Kernel Optimization in Discriminant Analysis |
98
Voted
ESANN
2007
15 years 1 months ago
2007
Imprecision, incompleteness, prior knowledge or improved learning speed can motivate interval–represented data. Most approaches for SVM learning of interval data use local kernel...
122
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
Object/scene detection by discriminative kernel-based classification has gained great interest due to its promising performance and flexibility. In this paper, unlike traditional ...
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
87
Voted
ICDAR
2007
IEEE
15 years 6 months ago
2007
IEEE
The effectiveness of kernel fisher discrimination analysis (KFDA) has been demonstrated by many pattern recognition applications. However, due to the large size of Gram matrix to ...
97
Voted
ESANN
2007
15 years 1 months ago
2007
In many applications, one is interested to detect certain patterns in random process signals. We consider a class of random process signals which contain sub similarities at rando...