6 search results - page 1 / 2 » Measuring Statistical Dependence with Hilbert-Schmidt Norms |
59
Voted
ALT
2005
Springer
15 years 6 months ago
2005
Springer
Abstract. We propose an independence criterion based on the eigenspectrum of covariance operators in reproducing kernel Hilbert spaces (RKHSs), consisting of an empirical estimate ...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
We describe a causal learning method, which employs measuring the strength of statistical dependences in terms of the Hilbert-Schmidt norm of kernel-based cross-covariance operato...
70
Voted
NIPS
2007
14 years 11 months ago
2007
Although kernel measures of independence have been widely applied in machine learning (notably in kernel ICA), there is as yet no method to determine whether they have detected st...
SDM
2009
SIAM
15 years 6 months ago
2009
SIAM
An established method to detect concept drift in data streams is to perform statistical hypothesis testing on the multivariate data in the stream. Statistical decision theory off...
ICIP
2003
IEEE
15 years 11 months ago
2003
IEEE
In this paper we propose a generic framework based on Hidden Markov Models (HMMs) for recognition of individuals from their gait. The HMM framework is suitable, because the gait o...