Accurate quantification of total body and the distribution of regional adipose tissue using manual segmentation is a challenging problem due to the high variation between manual de...
Yinpeng Jin, Celina Imielinska, Andrew Laine, Jaya...
We propose an original approach for the segmentation of three-dimensional fields of probability density functions. This presents a wide range of applications in medical images proc...
Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covaria...
We propose a decentralized privacy-preserving approach to spam filtering. Our solution exploits robust digests to identify messages that are a slight variation of one another and ...
Ernesto Damiani, Sabrina De Capitani di Vimercati,...
As technology scales, power consumption and thermal effects have become challenges for system-on-chip designers. The rising on-chip temperatures can have negative impacts on SoC p...
Wei-Lun Hung, Greg M. Link, Yuan Xie, Narayanan Vi...