In developing automated systems to recognize the emotional content of music, we are faced with a problem spanning two disparate domains: the space of human emotions and the acoust...
Erik M. Schmidt, Douglas Turnbull, Youngmoo E. Kim
This paper describes a novel approach using Hidden Markov Models (HMM) to detect complex Internet attacks. These attacks consist of several steps that may occur over an extended pe...
Dirk Ourston, Sara Matzner, William Stump, Bryan H...
The study of art history is an exciting and rewarding one, but one in which the student frequently encounters complex and difficult to understand concepts. Traditional methodologi...
Recent research has shown the integration of multiple classifiers to be one of the most important directions in machine learning and data mining. It was shown that, for an ensemble...
Alexey Tsymbal, Mykola Pechenizkiy, Seppo Puuronen...
Web pages (and resources, in general) can be characterized according to their geographical locality. For example, a web page with general information about wildflowers could be c...
Luis Gravano, Vasileios Hatzivassiloglou, Richard ...