In these lecture notes, the authors have outlined several approaches to solve a NMF/NTF
problem. The following main conclusions can be drawn: 1) Multiplicative algorithms are not …

In this paper, a class, of algorithms for automatic classification of individual musical
instrument sounds is presented. Several perceptual features used in sound classification …

We discuss nonnegative matrix factorization (NMF) techniques from the point of view of
intelligent data analysis (IDA), ie, the intelligent application of human expertize and …

In this paper we perform statistical data analysis of a broad set of state-of-the-art audio
features and low-level MPEG-7 audio descriptors. The investigation comprises data analysis …

In this paper, a class of algorithms for automatic classification of individual musical
instrument sounds is presented. Several perceptual features used in general sound …

MASC (manageable and adaptive service compositions) is a policy-based middleware for
monitoring of Web service compositions and their dynamic adaptation to various runtime …

In this paper we perform statistical data analysis of a broad set of state-of-the-art audio
features and low-level MPEG-7 audio descriptors. The investigation comprises data analysis …

In this paper, a new approach for automatic audio classification using non-negative matrix
factorization (NMF) is presented. Training is performed onto each audio class individually …

There is an increasing interest in customizable methods for organizing music collections.
Relevant music characterization can be obtained from short-time features, but it is not …

In this paper, a class of algorithms for automatic classification of individual musical
instrument sounds is presented. Two feature sets were employed, the first containing …