Dual supervision refers to the general setting of learning from both labeled examples as well as labeled features. Labeled features are naturally available in tasks such as text c...
Vikas Sindhwani, Prem Melville, Richard D. Lawrenc...
The goal of testing is to distinguish between a number of hypotheses about a systemfor example, dierent diagnoses of faults by applying input patterns and verifying or falsifying t...
As the number of wireless devices sharing the unlicensed 2.4 GHz ISM band increases, interference is becoming a problem of paramount importance. We experimentally investigate the e...
In this paper, a multimedia data mining framework for discovering important but previously unknown knowledge such as vehicle identification, traffic flow, and the spatio-temporal ...
With increasing demands for high performance by embedded systems, especially by digital signal processing applications, embedded processors must increase available instruction lev...