Obtaining fast and good quality approximations to data distributions is a problem of central interest to database management. A variety of popular database applications including,...
It is often desirable to evaluate an image based on its quality. For many computer vision applications, a perceptually meaningful measure is the most relevant for evaluation; howe...
In this work, a novel optimization framework is proposed that allows the improvement of Quality of Service levels in TCP/IP based networks, by configuring the routing weights of ...
Miguel Rocha, Pedro Sousa, Paulo Cortez, Miguel Ri...
The dominant method for evaluating search engines is the Cranfield paradigm, but the existing metrics do not consider some modern search engines features, such as document snippets...
This paper presents a novel system that employs an adaptive neural network for the no-reference assessment of perceived quality of JPEG/JPEG2000 coded images. The adaptive neural ...