Finding patterns in temporal data is an important data analysis task in many domains. Static visualizations can help users easily see certain instances of patterns, but are not sp...
This paper explores the feasibility of and challenges in developing methods for black-box monitoring of a VM's power usage at runtime, on shared virtualized compute platforms...
Bhavani Krishnan, Hrishikesh Amur, Ada Gavrilovska...
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Spectral voice conversion is usually performed using a single model selected in order to represent a tradeoff between goodness of fit and complexity. Recently, we proposed a new ...
Lossy compression of hyperspectral and ultraspectral images is traditionally performed using 3D transform coding. This approach yields good performance, but its complexity and mem...