Semantic theories of natural language associate meanings with utterances by providing meanings for lexical items and rules for determining the meaning of larger units given the me...
A central theme of computational vision research has been the realization that reliable estimation of local scene properties requires propagating measurements across the image. Ma...
This paper is about the evolution of a system prototype called Pensieve whose goal is to support people's reminiscing practices. A number of technologies exist to manage memo...
Dan Cosley, Kathy Akey, Brian Alson, Jonathan Baxt...
The importance of bringing causality into play when designing feature selection methods is more and more acknowledged in the machine learning community. This paper proposes a filt...
Motivated and informed by perspectives on sustainability and design, this paper draws on a diverse body of scholarly works related to energy and materiality to articulate a perspe...