Recursive estimation or Kalman filtering usually relies on explicit model functions, that directly and explicitly describe the effect of the parameters on the observations. Howeve...
—Probability Density Function (PDF) estimation is a very critical task in many applications of data analysis. For example in the Bayesian framework decisions are taken according ...
Structured P2P overlays supporting standard database functionalities are a popular choice for building large-scale distributed data management systems. In such systems, estimating...
Marcel Karnstedt, Kai-Uwe Sattler, Michael Ha&szli...
The peristimulus time histogram (PSTH) and its more continuous cousin, the spike density function (SDF) are staples in the analytic toolkit of neurophysiologists. The former is us...
Dominik Endres, Mike W. Oram, Johannes E. Schindel...
In this paper, we propose a blind watermark detection scheme which is robust against composite geometric distortions. The composite geometric distortions mean that an image or a v...
Min-Jeong Lee, Kyung-Su Kim, Young-Ho Suh, Heung-K...