The automatic analysis of singing from music is an important and challenging issue within the research target of content-based retrieval of music information. As part of this rese...
Abstract. In this paper a rigorous mathematical framework of deterministic annealing and mean-field approximation is presented for a general class of partitioning, clustering and ...
Abstract-- The development of high performance parallel applications for clusters is considered a complex task. This can happen because the influence of the execution environment a...
Lucas Mello Schnorr, Philippe Olivier Alexandre Na...
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
This paper explores the challenge of scaling up language processing algorithms to increasingly large datasets. While cluster computing has been available in commercial environment...