Many parameter estimation methods used in computer vision are able to utilise covariance information describing the uncertainty of data measurements. This paper considers the valu...
Michael J. Brooks, Wojciech Chojnacki, Darren Gawl...
Abstract--This work presents a channel model for the broadband characterization of power lines in presence of time variation of the loads. The model is characterized by taking into...
We propose to measure quantitatively the opacity property of each pixel in a ground-glass opacity tumor from CT images. Our method results in an opacity map in which each pixel tak...
Yuanjie Zheng, Chandra Kambhamettu, Thomas Bauer...
This paper addresses the problem of reconstructing the density of a scene from multiple projection images produced by modalities such as x-ray, electron microscopy, etc. where an ...
Satya P. Mallick, Sameer Agarwal, David J. Kriegma...
Probabilistic Boolean networks (PBNs) have been recently introduced as a paradigm for modeling genetic regulatory networks. One of the objectives of PBN modeling is to use the netw...