This paper describes a discriminatively trained, multiscale, deformable part model for object detection. Our system achieves a two-fold improvement in average precision over the b...
Pedro F. Felzenszwalb, David A. McAllester, Deva R...
Many virtual reality systems have a distributed structure for certain purposes such as more computational power, tele-presence, collaboration, and portability. However, network de...
The overwhelming amount of information on the web makes it critical for users to quickly and accurately evaluate the relevance of content. Here we tested whether pupil size can be...
Flavio T. P. Oliveira, Anne Aula, Daniel M. Russel...
The dramatic growth in the number and size of on-line information sources has fueled increasing research interest in the incremental subspace learning problem. In this paper, we pr...
This paper introduces and analyzes a battery of inference models for the problem of semantic role labeling: one based on constraint satisfaction, and several strategies that model...