Abstract. This paper presents a tract-oriented analysis of diffusion tensor (DT) images of the human brain. We demonstrate that unlike the commonly used ROI-based methods for popul...
Mahnaz Maddah, Marek Kubicki, William M. Wells I...
In this paper, we study Markov Random Fields as spatial smoothing priors in fMRI detection. Relatively high noise in fMRI images presents a serious challenge for the detection algo...
We propose a novel method to measure the dependability of journaling file systems. In our approach, we build models of how journaling file systems must behave under different jo...
Vijayan Prabhakaran, Andrea C. Arpaci-Dusseau, Rem...
Spectral classification, segmentation and data reduction are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation approach which ...
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpou...
This paper presents an empirical study for improving the performance of text chunking. We focus on two issues: the problem of selecting feature spaces, and the problem of alleviat...