Shark is a research data analysis system built on a novel rained distributed shared-memory abstraction. Shark marries query processing with deep data analysis, providing a unifie...
Cliff Engle, Antonio Lupher, Reynold Xin, Matei Za...
Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...
In this paper, we propose a Robust Discriminant Analysis based on maximum entropy (MaxEnt) criterion (MaxEnt-RDA), which is derived from a nonparametric estimate of Renyi’s quadr...
Temporal consistency is ubiquitous in video data, where temporally adjacent video shots usually share similar visual and semantic content. This paper presents a thorough study of ...
Abstract-The emergence of small, inexpensive, networkcapable sensing devices led to a great deal of research on the design and implementation of sensor networks. A critical step in...
Riccardo Crepaldi, Simone Friso, Albert F. Harris ...