In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...
— We propose a novel synthesis method of a dual-rail asynchronous two-level logic of reduced cost. It is based on a model that operates under so called modified weak constraints....
In this work we present a novel method to model instance-level constraints within a clustering algorithm. Thereby, both similarity and dissimilarity constraints can be used coeval...
This paper derives the multi-layer heat conduction Green’s function, by integrating the eigen-expansion technique and the classic transmission line theories, and presents a loga...
This paper addresses the problem of doubletalk detector calibration for acoustic echo cancellers in hands-free environments such as videoconferencing. A statistical model of a rec...