In this paper, we propose an adaptive time-frequency resolution approach for the single channel source separation problem. The aim is to improve the quality and intelligibility of...
Abstract—Complex networks consisting of humans and software services, such as Web-based social and collaborative environments, typically require flexible and context-based inter...
In this paper, we propose image restoration algorithms based on adaptive wavelet?domain statistical models. We present a method to estimate the model parameters from the observati...
We propose an adaptive procedure for segmenting images by merging of homogeneous regions. The algorithm is based on sharp concentration inequalities and is tailored to avoid over-...
Self-adaptation is emerging as an increasingly important capability for many applications, particularly those deployed in dynamically changing environments, such as ecosystem moni...
Heather Goldsby, Peter Sawyer, Nelly Bencomo, Bett...