When labelled training data is plentiful, discriminative techniques are widely used since they give excellent generalization performance. However, for large-scale applications suc...
Julia A. Lasserre, Christopher M. Bishop, Thomas P...
Are the object manipulation techniques traditionally used in head?mounted displays (HMDs) applicable to augmented reality based projection systems? This paper examines the differe...
Stephen Voida, Mark Podlaseck, Rick Kjeldsen, Clau...
A key problem in model-based object recognition is selection, namely, the problem of determining which regions in the image are likely to come from a single object. In this paper w...
Over the past decade the sheer size and complexity of traditional operating systems have prompted a wave of new approaches to help alleviate the services provided by these operati...
Ramesh K. Karne, Karthick V. Jaganathan, Nelson Ro...
This paper presents a computer simulation of context effects on problem solving with AMBR — a model of human analogy-making. It demonstrates how perceiving some incidental object...