Markov models have been used extensively in psychology of learning. Applications of hidden Markov models are rare however. This is partially due to the fact that comprehensive stat...
Ingmar Visser, Maartje E. J. Raijmakers, Peter C. ...
Abstract. This paper reviews the results of a study into combining evidence from multiple streams of surveillance data in order to improve timeliness and specificity of detection ...
There has been intensive research on data prefetching focusing on performance improvement, however, the energy aspect of prefetching is relatively unknown. Our experiments show th...
Yao Guo, Saurabh Chheda, Israel Koren, C. Mani Kri...
Many advanced safety and navigation applications in vehicles require accurate, detailed digital maps, but manual lane measurements are expensive and time-consuming, making automat...
To deal with the frequent, foreseeable and variable disconnections that occur in a mobile environment, we introduce a exible, two-level consistency model. Semantically related or ...