524 search results - page 2 / 105 » On the Performance of Clustering in Hilbert Spaces |
CORR
2010
Springer
13 years 9 days ago
2010
Springer
The goal of this paper is the development of a novel approach for the problem of Noise Removal, based on the theory of Reproducing Kernels Hilbert Spaces (RKHS). The problem is ca...
JMLR
2006
13 years 5 months ago
2006
This paper presents an online support vector machine (SVM) that uses the stochastic meta-descent (SMD) algorithm to adapt its step size automatically. We formulate the online lear...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
KI
2009
Springer
13 years 12 months ago
2009
Springer
Abstract. We generalize traditional goals of clustering towards distinguishing components in a non-parametric mixture model. The clusters are not necessarily based on point locatio...
PODS
1989
ACM
13 years 8 months ago
1989
ACM
In this paper we propose the use of fractals and especially the Hilbert curve, in order to design good distance-preserving mappings. Such mappings improve the performance of secon...