Machine learning techniques are increasingly being used to produce a wide-range of classifiers for complex real-world applications that involve nonuniform testing costs and miscl...
Standard financial techniques neglect extreme situations and regards large market shifts as too unlikely to matter. Such approach accounts for what occurs most of the time in the ...
Antoaneta Serguieva, John Hunter, Tatiana Kalganov...
This paper introduced a human surveillance system which integrated the face understanding technologies to recognize personal identities in real time. We proposed a coarse-to-fine s...
The RESTART method is a widely applicable simulation technique for the estimation of rare event probabilities. The method is based on the idea to restart the simulation in certain...
We present an extension to an existing SPARC V8 instruction set simulator, SimICS, to support accurate profiling of branches and instruction cache misses. SimICS had previously su...