Consider the problem of estimating the small probability that the maximum of a random walk exceeds a large threshold, when the process has a negative drift and the underlying rand...
— Many image compression techniques require the quantization of multiple vector sources with significantly different distributions. With vector quantization (VQ), these sources ...
The problem of distributed Bayesian estimation is considered in the context of a wireless sensor network. The Bayesian estimation performance is analyzed in terms of the expected F...
Selectivity estimation is an important step of query optimization in a database management system, and multidimensional histogram techniques have proved promising for selectivity ...
Previous work on using external aggregate rating information showed that this information can be incorporated in several different types of recommender systems and improves their...