UAI
2004
14 years 1 months ago
2004
In this paper we define conditional random fields in reproducing kernel Hilbert spaces and show connections to Gaussian Process classification. More specifically, we prove decompo...
NIPS
2004
14 years 1 months ago
2004
This paper provides a foundation for multi
NIPS
2007
14 years 1 months ago
2007
We propose a new measure of conditional dependence of random variables, based on normalized cross-covariance operators on reproducing kernel Hilbert spaces. Unlike previous kernel...
NIPS
2008
14 years 1 months ago
2008
Embeddings of random variables in reproducing kernel Hilbert spaces (RKHSs) may be used to conduct statistical inference based on higher order moments. For sufficiently rich (char...
CDC
2009
IEEE
14 years 4 months ago
2009
IEEE
In this paper we analyze the problem of estimating a function from different noisy data sets collected by spatially distributed sensors and subject to unknown temporal shifts. We p...
COLT
2004
Springer
14 years 5 months ago
2004
Springer
The main goal of this paper is to prove inequalities on the reconstruction error for Kernel Principal Component Analysis. With respect to previous work on this topic, our contribu...
DIS
2007
Springer
14 years 6 months ago
2007
Springer
We describe a technique for comparing distributions without the need for density estimation as an intermediate step. Our approach relies on mapping the distributions into a reprodu...
ICASSP
2008
IEEE
14 years 7 months ago
2008
IEEE
This paper introduces a generalized cross-correlation (GCC) measure for spike train analysis derived from reproducing kernel Hilbert spaces (RKHS) theory. An estimator for GCC is ...