Sentence examples for recognition for data from inspiring English sources

Exact(1)

Several interviewees mentioned concerns over authorship and recognition for data providers when others conduct subsequent analyses on data provided in registries.

Similar(59)

Pattern recognition methods for data retrieval have been applied to fusion databases for the localization and extraction of similar waveforms within temporal evolution signals.

Discriminant function analysis (DFA) was used as a supervised linear pattern recognition algorithm for data classification, with leave-one-out cross validation for accuracy confirmation.

News of the deal coincides with The Detail's decision to recruit more journalists to join a team that has won recognition for its data journalism with awards from from the Royal Statistical Society, the Online Media Awards and the Northern Ireland Media Awards.

Our friends electric Microsoft's other mogul Reprints"There's a wave of enthusiasm and recognition for open data which started with the Human Genome Project," says Mr Allen.

Key elements include harmonising the ethical and legal landscapes of data contributors, developing technological and organisational tools for secure data sharing and developing mechanisms for the recognition of data holders' contribution.

The right suggests the need for recognition of attribution for data producers and contributors, and perhaps also intellectual property rights.

The trust is hoping to further reduce the volume of paper it deals with in the future and will be examining options such as voice recognition and mobile devices for data input.

The text of each paragraph is passed to OSCAR3 for data recognition, which applies inline annotation to label the various parts of the spectrum.

In some example embodiments, the client machine 110 or 112 accesses the server 118 to retrieve facial recognition data for facial recognition on the client machine 110 or 112.

By applying this to natural gas pipelines, a large amount of location data was collected for data feature recognition and model analysis.

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