17 search results - page 1 / 4 » A complete gradient clustering algorithm formed with kernel ... |
AMCS
2010
13 years 12 months ago
2010
ICA
2007
Springer
14 years 6 months ago
2007
Springer
Abstract. This paper introduces gradient based method for robust assessment of the sparse pulse sources, such as motor unit innervation pulse trains in the filed of electromyograp...
ICTIR
2009
Springer
14 years 11 months ago
2009
Springer
We introduce perturbation kernels, a new class of similarity measure for information retrieval that casts word similarity in terms of multi-task learning. Perturbation kernels mode...
STOC
2005
ACM
15 years 5 months ago
2005
ACM
We introduce a new graph parameter, called the Grothendieck constant of a graph G = (V, E), which is defined as the least constant K such that for every A : E R, sup f:V S|V |-1 ...
EMMCVPR
2005
Springer
14 years 10 months ago
2005
Springer
This paper addresses the problem of efficient information theoretic, non-parametric data clustering. We develop a procedure for adapting the cluster memberships of the data pattern...