In this work we learn clusters of contextual annotations for non-terminals in the Penn Treebank. Perhaps the best way to think about this problem is to contrast our work with that...
William P. Headden III, Eugene Charniak, Mark John...
A novel method of learning complex fuzzy decision regions in the n-dimensional feature space is proposed. Through the fuzzy decision regions, a given pattern's class membershi...
While CSCW research has mostly been focusing on desktop applications there is a growing interest on ubiquitous and tangible computing. We present ethnographic fieldwork and prototy...
This paper intends to describe an ongoing experiment that provides a collaborative learning method applied to a case study in higher education. With this purpose, a computer-based...
Elena Campo Montalv, Vicente Martinez-Orga, Nelson...
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...