Tag Archives : aleš leonardis

Compositional hierarchical model for music information retrieval - PhD Cover October 2, 2018

PhD completed – Compositional hierarchical model for music information retrieval

By

Finally, the 6-years long PhD phase is completed. The doctoral dissertation titled ‘Compositional hierarchical model for music information retireval’ and the PowerPoint presentation are also available online on this link: https://www.researchgate.net/project/Compositional-Hierarchical-Model-an-alternative-white-box-deep-architecture Special thanks goes to my advisors Matija Marolt and Ales Leonardis. There are still several open topics in this research and the project will therefore remain in the list of my research…

Read More »
SymCHM - the compositional hierarchical model for symbolic music representations November 5, 2017

[Published paper] SymCHM—An Unsupervised Approach for Pattern Discovery in Symbolic Music with a Compositional Hierarchical Model

By

We are thrilled that a new paper on the Compositional Hierarchical Model has just been published. The paper describes a modified version of the model, SymCHM, capable of working with symbolic music representations. The paper describes the work done during the last year of the model development for the pattern discovery task. The paper publicly available here: http://www.mdpi.com/2076-3417/7/11/1135 We are also…

Read More »
Compositional hierarchical model January 11, 2017

[Published paper] A different white-box deep architecture? Is it possible?

By

I recently published a paper more thoroughly explaining what I have been developing as a part of my PhD research at the Laboratory for Computer Graphics and Multimedia, Faculty of Computer and Information Science. The paper describes an alternative deep architecture. Those of you who are involved in recent machine learning research probably know neural-network-based deep architectures, which recently gained…

Read More »