In inter-subject registration, one often lacks a good model of the transformation variability to choose the optimal regularization. Some works attempt to model the variability in a...
Xavier Pennec, Radu Stefanescu, Vincent Arsigny, P...
We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...
We point out several problems in scalingup statistical approaches to spoken dialogue systems to enable them to deal with complex but natural user goals, such as disjunctive and ne...
We propose a structure called dependency forest for statistical machine translation. A dependency forest compactly represents multiple dependency trees. We develop new algorithms ...
Zhaopeng Tu, Yang Liu, Young-Sook Hwang, Qun Liu, ...
Abstract--With increasing spatial reuse of radio spectrum, cochannel interference is becoming a dominant noise source and may severely degrade the communication performance of wire...
Kapil Gulati, Brian L. Evans, Jeffrey G. Andrews, ...