Various studies on music information retrieval have been conducted. Most of them used low-level features such as spectral and cepstral features, which are effective to some extent...
Text classification in the medical domain is a real world problem with wide applicability. This paper investigates extensively the effect of text representation approaches on the p...
Fathi H. Saad, Beatriz de la Iglesia, Duncan G. Be...
This paper assesses the predictability of network traffic by considering two metrics: (1) how far into the future a traffic rate process can be predicted with bounded error; (2) w...
In this paper, we propose a novel metric learning method based on regularized moving least squares. Unlike most previous metric learning methods which learn a global Mahalanobis d...
A number of similarity metrics have been used to measure the degree of web page changes in the literature. When a web page changes, the metrics often represent the change different...