Abstract. We introduce a new methodology for radiometric reconstruction from multiple images. It opens new possibilities because it allows simultaneous recovery of varying unknown ...
In this paper, a spatially constrained mixture model for the segmentation of MR brain images is presented. The novelty of this work is a new, edge preserving, smoothness prior whic...
Giorgos Sfikas, Christophoros Nikou, Nikolas P. ...
In this work, we report on an unprecedented design where digital, analog, and MEMS technologies are combined to realize a generalpurpose single-chip CMOS microsystem. The converge...
Robert M. Senger, Eric D. Marsman, Michael S. McCo...
Most work on preference learning has focused on pairwise preferences or rankings over individual items. In this paper, we present a method for learning preferences over sets of it...
We report the results of a study on topic spotting in conversational speech. Using a machine learning approach, we build classifiers that accept an audio file of conversational hu...
Kary Myers, Michael J. Kearns, Satinder P. Singh, ...