During recent years the need for accurate color measurements has been increasing to achieve proper color management in a number of industries. One of the most wide spread techniqu...
We propose a new algorithm for learning kernels for variants of the Normalized Cuts (NCuts) objective – i.e., given a set of training examples with known partitions, how should ...
This contribution presents a wideband (50 Hz – 7 kHz) speech enhancement system that is operating in the frequency domain. As a novel feature, techniques known from artificial ...
Thomas Esch, Florian Heese, Bernd Geiser, Peter Va...
Extracellular recording of neural signals records the action potentials (known as spikes) of neurons adjacent to the electrode as well as the noise generated by the overall neural...
This paper describes a new kernel-based approach for linear system identification of stable systems. We model the impulse response as the realization of a Gaussian process whose s...