Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
A 3D optical flow tracking system was used to track participants as they watched a series of boring videos. The video stream of the participants was rated for boredom events. Rati...
Allison M. Jacobs, Benjamin R. Fransen, J. Malcolm...
We demonstrate the effectiveness of multilingual learning for unsupervised part-of-speech tagging. The key hypothesis of multilingual learning is that by combining cues from multi...
Benjamin Snyder, Tahira Naseem, Jacob Eisenstein, ...
This paper proposes a new hardware technique for using one core of a CMP to prefetch data for a thread running on another core. Our approach simply executes a copy of all non-cont...
Multiple issue of instructions occurs in superscalar and VLIW machines. This paper investigates a third type of machine design, which combines the advantages of code compatibility...