Sentence examples for multidimensional data and from inspiring English sources

I compare the performance of a variety of ViVA configurations for corner turn, used in processing multidimensional data, and sparse matrix-vector multiplication, used in many scientific applications.

Her research interests include multimedia databases, multimedia data mining, indexing methods for multidimensional data, and information visualization.

They are organized in the following topical sections: data wrangling and data integration; data analysis and data mining; graph data querying and analysis; multidimensional data and data quality; and distributed and multimedia data management.

The plugin generates an interactive 2D map that allows the visual exploration of multidimensional data and the identification of groups of similar objects.

As a result, shearlets are much more effective than traditional wavelets in handling the geometry of multidimensional data, and this was exploited in a wide range of applications from image and signal processing.

SVMs are very powerful at classifying multidimensional data, and therefore should give us the ability to predict both Mendelian and genetically complex SMP responses.

A number of proposals for integrating geographical (Geographical Information Systems GIS) and multidimensional (data warehouse DW and online analytical processing OLAP) processing are found in the database literature.

SCADA, data mining, auxiliary decision and multidimensional data analysis and other functions can be realized by using HQL interfaces.

Data visualization techniques have become important tools for analyzing large multidimensional data sets and providing insights with respect to scientific, economic, and engineering applications.

Here we discuss the technical aspects related to 2P microscope design, explain in detail various tissue imaging preparations, and walk the reader through the often daunting process of analyzing multidimensional data sets and presenting the experimental results.

Additionally, as a large volume of electronic medical records (EMRs) and FDA drug labels become available and effective text mining approaches were developed [ 29], the development of the novel methods to integrate multidimensional data sources and build a comprehensive resource for adverse drug interactions will be possible and practical.