Abstract--Conducting valid comparative evaluations of techniques in the field of Music Information Retrieval (MIR) presents particular challenges to MIR researchers due to issues o...
Kris West, Amit Kumar, Andrew Shirk, Guojun Zhu, J...
Content–based image retrieval in the medical domain is an extremely hot topic in medical imaging as it promises to help better managing the large amount of medical images being ...
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
The focus of this paper is the exploration of ontologies as a means for knowledge sharing in music information retrieval scenarios. Our approach is intended to support the complet...
Abstract. Today’s case based reasoning applications face several challenges. In a typical application, the case bases grow at a very fast rate and their contents become increasin...