This paper presents a semi-supervised training method for linear-chain conditional random fields that makes use of labeled features rather than labeled instances. This is accompli...
Service-oriented computing and the ensuing science of services represent significant challenges to academia. As we come to grips with its many implications, we are slowly beginnin...
Sandeep Purao, Vijay K. Vaishnavi, John W. Bagby, ...
Shape from Shading (SFS) is one of the most extensively studied problems in Computer Vision. However, most of the approaches only deal with Lambertian or other specific shading mo...
Recent work on organisational knowledge suggests that, in addition to cultivating the 'knowledge spiral', organisations need to focus on facilitating forms of 'know...
Abstract. In the stream of research that aims to speed up practical planners, we propose a new approach to task planning based on Probabilistic Roadmap Methods (PRM). Our contribut...