Segmentation is a fundamental problem in medical image analysis. The use of prior knowledge is often considered to address the ill-posedness of the process. Such a process consists...
Most approaches to classifying media content assume a fixed, closed vocabulary of labels. In contrast, we advocate machine learning approaches which take advantage of the millions...
Infrastructure awareness systems reveal invisible aspects of infrastructures to their existing or potential users. Designing such systems is challenging as it requires making visi...
1 This study evaluates the robustness of established computational indices used to assess text relatedness in userlanguage. The original User-Language Paraphrase Corpus (ULPC) was ...
Adam M. Renner, Philip M. McCarthy, Danielle S. Mc...
We present a new framework for information cue rendering on 2D vibrotactile arrays, and we describe an experiment that investigated the feasibility of our approach. The methods ar...