Abstract. Traditional parallel programming methodologies for improving performance assume cache-based parallel systems. However, new architectures, like the IBM Cyclops-64 (C64), b...
Elkin Garcia, Ioannis E. Venetis, Rishi Khan, Guan...
Discovering a representation that allows auditory data to be parsimoniously represented is useful for many machine learning and signal processing tasks. Such a representation can b...
We address the problem of segmenting high angular resolution diffusion images of the brain into cerebral regions corresponding to distinct white matter fiber bundles. We cast thi...
A challenging problem of multi-label learning is that both the label space and the model complexity will grow rapidly with the increase in the number of labels, and thus makes the...
This paper introduces a novel way to detect metrical structure in music. We introduce a way to compute autocorrelation such that the distribution of energy in phase space is prese...