Determining the occurrence of an event is fundamental to developing systems that can observe and react to them. Often, this determination is based on collecting video and/or audio...
Dmitry N. Zotkin, Ramani Duraiswami, Larry S. Davi...
The objective of data reduction is to obtain a compact representation of a large data set to facilitate repeated use of non-redundant information with complex and slow learning alg...
Abstract. The challenge of building consistent, available, and scalable data management systems capable of serving petabytes of data for millions of users has confronted the data m...
Divyakant Agrawal, Amr El Abbadi, Shyam Antony, Su...
—Seismic Data Server Application Service (SDSAS) is developed on the SEEGRID infrastructure in order to serve massive seismic data that are archived from national seismology cent...
A "sparse" data set typically has hundreds or even thousands of attributes, but most objects have non-null values for only a small number of these attributes. A popular ...
Eric Chu, Jennifer L. Beckmann, Jeffrey F. Naughto...