This paper introduces the Tuple Graph (TuG) synopses, a new class of data summaries that enable accurate selectivity estimates for complex relational queries. The proposed summari...
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hi...
This paper explores the model of providing a common overlay structure management layer to assist the construction of large-scale wide-area Internet services. To this end, we propo...
One of the important aspects in digital video applications is spatial and temporal characteristic. A very little progress has been achieved on spatiotemporal modeling of video dat...
Archana M. Rajurkar, R. C. Joshi, Santanu Chaudhar...