Density estimation for observational data plays an integral role in a broad spectrum of applications, e.g. statistical data analysis and information-theoretic image registration. ...
In this paper we propose a Gaussian-kernel-based online kernel density estimation which can be used for applications of online probability density estimation and online learning. ...
We present a nonparametric method for galaxy clustering in astronomical sky surveys. We show that the cosmological definition of clusters of galaxies is equivalent to density cont...
The present paper considers the supplement of prior knowledge about joint angle configurations in the scope of 3-D human pose tracking. Training samples obtained from an industrial...
Thomas Brox, Bodo Rosenhahn, Uwe G. Kersting, Dani...
Abstract— We present a general method to evaluate RF BuiltIn Self-Test (BIST) techniques during the design stage. In particular, the adaptive kernel estimator is used to construc...
Haralampos-G. D. Stratigopoulos, Jeanne Tongbong, ...