We consider the problem of semi-supervised segmentation of textured images. Recently, reweighted belief propagation has been introduced as a solution for Bayesian inference with r...
In this paper we suggest how several competing image denoising algorithms, differing in design parameters, or even in design principles, can be combined together to yield a better...
Node localization is an important task in the context of wireless sensor networks. Although algorithms already exist to carry out localization using measurements of received signa...
Andrea Edelstein, Xi Chen, Yunpeng Li, Michael Rab...
In microphone array processing, a Correlation Matrix (CM) between multiple channel input signals is widely utilized for various purposes such as Sound Source Localization (SSL), e...
Detecting small targets is essential for mitigating the seabased Infrared search and track (IRST) problem. It is easy to detect small targets in homogeneous backgrounds such as th...
This paper concerns the adaptation of spectrum dictionaries in audio source separation with supervised learning. Supposing that samples of the audio sources to separate are availa...
Xabier Jaureguiberry, Pierre Leveau, Simon Maller,...
Traditional MDCT-based perceptual audio coding schemes employ mid/side and intensity stereo techniques to allow efficient joint coding of the two channels of a stereophonic signal...
Christian R. Helmrich, Pontus Carlsson, Sascha Dis...
Error resilient video coding critically relies on the accuracy of endto-end distortion estimation. An established solution, the recursive optimal per-pixel estimate (ROPE), is bas...
In this paper, we propose a novel multi-resolution background subtraction method. We adopt coarse to fine strategy, which is the essence the multi-resolution scheme, to obtain th...