240 search results - page 20 / 48 » Robust Multi-Objective Optimization in High Dimensional Spac... |
75
Voted
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
In Kernel Fisher discriminant analysis (KFDA), we carry out Fisher linear discriminant analysis in a high dimensional feature space defined implicitly by a kernel. The performance...
JMLR
2012
13 years 4 days ago
2012
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
79
Voted
PAMI
2008
14 years 9 months ago
2008
This paper presents a new deformable modeling strategy aimed at integrating shape and appearance in a unified space. If we think traditional deformable models as "active cont...
85
Voted
ACCV
2007
Springer
15 years 3 months ago
2007
Springer
This paper addresses gesture recognition under small sample size, where direct use of traditional classifiers is difficult due to high dimensionality of input space. We propose a ...
FSKD
2007
Springer
15 years 3 months ago
2007
Springer
A proposed KFCM-based fuzzy classifier was introduced. As for the process of constructing such classifier, firstly, the original sample space is mapped into a high dimensional fea...