291 search results - page 4 / 59 » General Convergence Results for Linear Discriminant Updates |
ICDM
2009
IEEE
14 years 13 days ago
2009
IEEE
Abstract—Linear discriminant analysis (LDA) is a wellknown dimension reduction approach, which projects highdimensional data into a low-dimensional space with the best separation...
KES
1998
Springer
13 years 10 months ago
1998
Springer
Several intelligent features are embedded in the Growing Competitive Linear Local Mapping Neural Network. They result in an adaptive, fast-learning, very efficient control scheme, ...
INFOCOM
2011
IEEE
12 years 9 months ago
2011
IEEE
—To better support interactive applications, individual network operators are decreasing the timers that affect BGP convergence, leading to greater diversity in the timer setting...
PAMI
2007
13 years 5 months ago
2007
— The traditional image representations are not suited to conventional classification methods, such as the linear discriminant analysis (LDA), because of the under sample problem...
ECML
2005
Springer
13 years 11 months ago
2005
Springer
Abstract. We study discriminative joint density models, that is, generative models for the joint density p(c, x) learned by maximizing a discriminative cost function, the condition...