Stochastic grammar has been used in many video analysis and event recognition applications as an efficient model to represent large-scale video activity. However, in previous works...
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Interface personalization can improve a user’s performance and subjective impression of interface quality and responsiveness. Personalization is difficult to implement as it req...
We formulate an algebra of binary temporal relations between events the number of occurrences of which is unknown, but which are known to recur in time. Ontologically, we view the...
Managing time-stamped data is essential to clinical research activities and often requires the use of considerable domain knowledge, which is difficult to support within database ...
Martin J. O'Connor, Ravi D. Shankar, David B. Parr...