Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
— This paper presents a pitch-based approach for creating musical fingerprints for similarity assessment. An effective measure for musical similarity impacts music indexing and c...
This paper describes the requirements handling process of a set of research projects, the ATHENA IP, and how this process is supported by modeling and visualizing requirement stru...
Helge Grenager Solheim, Frank M. Lillehagen, Sobah...
Automatic digital signal type identification (ADSTI) is an important topic for both military and civilian communication applications. Most of proposed techniques (identifiers) can...
This paper describes the mixtures-of-trees model, a probabilistic model for discrete multidimensional domains. Mixtures-of-trees generalize the probabilistic trees of Chow and Liu...