Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
Abstract. Linear systems and eigen-calculations on symmetric diagonally dominant matrices (SDDs) occur ubiquitously in computer vision, computer graphics, and machine learning. In ...
Abstract. The trend towards cloud and utility computing infrastructures raises challenges not only for application development, but also for management: diverse resources, changing...
Abstract. Virtualization-based server consolidation is an important technique for cost and energy reductions in data center environments and a key enabler of cloud computing. Howev...
Gueyoung Jung, Kaustubh R. Joshi, Matti A. Hiltune...
Abstract. We present a method for applying machine learning algorithms to the automatic classification of astronomy star surveys using time series of star brightness. Currently su...
Gabriel Wachman, Roni Khardon, Pavlos Protopapas, ...