This paper presents a new object-based segmentation technique which exploits a large temporal context in order to get coherent and robust segmentation results. The segmentation pr...
Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covaria...
We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a probabilistic generative model for the value function by i...
Evolving database management systems (DBMS) towards more flexibility in functionality, adaptation to changing requirements, and extensions with new or different components, is a c...
Ionut Emanuel Subasu, Patrick Ziegler, Klaus R. Di...
Computation performed in many typical aspects involve side effects. In a purely functional setting, adding such aspects using techniques such as monadification will generally lea...
Kung Chen, Jia-Yin Lin, Shu-Chun Weng, Siau-Cheng ...