We introduce a new tool to solve the large linear systems arising from gradient-domain image processing. Specifically, we develop a streaming multigrid solver, which needs just tw...
Learning visual classifiers for object recognition from weakly labeled data requires determining correspondence between image regions and semantic object classes. Most approaches u...
Searching data streams has been traditionally very limited, either in the complexity of the search or in the size of the searched dataset. In this paper, we investigate the design...
—“Big Data” in map-reduce (M-R) clusters is often fundamentally temporal in nature, as are many analytics tasks over such data. For instance, display advertising uses Behavio...
Badrish Chandramouli, Jonathan Goldstein, Songyun ...
In this paper we are concerned with disseminating high-volume data streams to many simultaneous context-aware applications over a low-bandwidth wireless mesh network. For bandwidt...