Network querying aims to search a large network for subnetwork regions that are similar to a given query network. In this paper, we propose a novel algorithm for querying large sc...
This work presents generalized low-rank signal decompositions with the aid of switching techniques and adaptive algorithms, which do not require eigen-decompositions, for space-ti...
We propose an online speech source separation method which can separate sources under underdetemined conditions. The proposed method is based on local Gaussian modeling (LGM). At ...
Abstract. An extension of the normalized mutual information similarity measurement was proposed to register cardiac PET/CT and SPECT images representing coronary artery disease in ...
We present a hybrid approach to image watermarking that exploits results from both information theory and perceptual studies. Towards this purpose we use a waterfilling-type algor...