Mokbel B, Hasenfuss A, Hammer B. Graph-based Representation of Symbolic Musical Data. In: Torsello A, Escolano F, Brun L, International Association for Pattern Recognition. Technical Committee on Graph Based Representations, eds. Graph-Based Representation in Pattern Recognition (GbRPR 2009). Lecture Notes in Computer Science, 5534. Lecture notes in computer science. Vol 5534. Berlin: Springer; 2009: 42-51
In this paper we try to examine recent trends on the use of graph-based representations in Pattern R...
Graphs, data structures in which entities are connected by relations, represent a reasonable way to ...
In the field of computer-assisted music analysis, similarity studies are widely recognized as the ma...
In this work, a novel representation system for symbolic music is described. The proposed representa...
In this work, a new music symbolic level representation system is described. It has been tested in t...
In this work, a new music symbolic level representation system is described. It has been tested in t...
This paper discusses a graphically oriented representation for music and how such representation sys...
Most feature extraction algorithms for music audio signals use Fourier transforms to obtain coeffici...
Cadences are complex structures that have been driving music from the beginning of contrapuntal poly...
International audienceIn the present work we introduce a general formal (Object Oriented) model for ...
The development of both musicologically based and efficient music information retrieval metrics to q...
International audienceA key aspect of machine learning models lies in their ability to learn efficie...
The abstract focuses on graphical representations of musical elements related to pitches, chords, an...
Common music information retrieval methods are based upon editing distances, reductionism or functio...
Existing solutions for searching for appropriate music content rely on methods like string edit dist...
In this paper we try to examine recent trends on the use of graph-based representations in Pattern R...
Graphs, data structures in which entities are connected by relations, represent a reasonable way to ...
In the field of computer-assisted music analysis, similarity studies are widely recognized as the ma...
In this work, a novel representation system for symbolic music is described. The proposed representa...
In this work, a new music symbolic level representation system is described. It has been tested in t...
In this work, a new music symbolic level representation system is described. It has been tested in t...
This paper discusses a graphically oriented representation for music and how such representation sys...
Most feature extraction algorithms for music audio signals use Fourier transforms to obtain coeffici...
Cadences are complex structures that have been driving music from the beginning of contrapuntal poly...
International audienceIn the present work we introduce a general formal (Object Oriented) model for ...
The development of both musicologically based and efficient music information retrieval metrics to q...
International audienceA key aspect of machine learning models lies in their ability to learn efficie...
The abstract focuses on graphical representations of musical elements related to pitches, chords, an...
Common music information retrieval methods are based upon editing distances, reductionism or functio...
Existing solutions for searching for appropriate music content rely on methods like string edit dist...
In this paper we try to examine recent trends on the use of graph-based representations in Pattern R...
Graphs, data structures in which entities are connected by relations, represent a reasonable way to ...
In the field of computer-assisted music analysis, similarity studies are widely recognized as the ma...