1416 search results - page 49 / 284 » The Kernel Least-Mean-Square Algorithm |
CSDA
2006
14 years 9 months ago
2006
: Kernel density estimation for multivariate data is an important technique that has a wide range of applications. However, it has received significantly less attention than its un...
ALT
2004
Springer
15 years 6 months ago
2004
Springer
We consider a two-layer network algorithm. The first layer consists of an uncountable number of linear units. Each linear unit is an LMS algorithm whose inputs are first “kerne...
FOCM
2008
14 years 9 months ago
2008
This paper considers the least-square online gradient descent algorithm in a reproducing kernel Hilbert space (RKHS) without explicit regularization. We present a novel capacity i...
PAMI
2007
14 years 9 months ago
2007
The mean-shift algorithm, based on ideas proposed by Fukunaga and Hostetler (1975), is a hill-climbing algorithm on the density defined by a finite mixture or a kernel density e...
ECOOPW
1998
Springer
15 years 1 months ago
1998
Springer
Abstract. We introduce a collection of high performance kernels for basic linear algebra. The kernels encapsulate small xed size computations in order to provide building blocks fo...