Sentence examples for Verification and recognition from inspiring English sources

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Our experiment results demonstrate that, the proposed method can perform better, or is competitive to existing state-of-the-art approaches, for both of the verification and recognition tasks.

Because of its natural and non-intrusive interaction, identity verification and recognition using facial information are among the most active and challenging areas in computer vision research.

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She received her doctorate in 1998 and, after a brief postdoctoral fellowship at ICSI, joined Nuance Communications working on speaker verification and speech recognition technology.

Hello's carpooling feature similarly piggybacks off Alibaba services although the goal here is to assure passenger safety through processes like cloud-based real-name verification and facial recognition.

Ad fraud detection companies such as Telemetry, Forensiq, White Ops, Spider.io (recently acquired by Google), and SimilarWeb's Traffic Guardian use several approaches, including comparing visit patterns with known behavior, monitoring malicious software, proxy unmasking, device verification, and manipulation recognition.

In addition, due to the necessity of having a small memory footprint of data, PCA is applied to many data mining applications that are appropriate for mobile and embedded devices such as: handwritten analysis or signature verification, palm-print or finger-print verification, iris verification, and facial recognition.

It is also feasible to use the dataset for both vessel verification and identity recognition, which could be a vital part of a maritime security system, analogous to a scenario where vehicle make and model recognition is crucial for a traffic security system.

In contrast to functional MRI, there are numerous PET studies showing anterior temporal lobe activation in semantic tasks such as semantic categorization, category fluency, object naming, category verification and word recognition (Mummery et al., 1996; Devlin et al., 2000; Bright et al., 2004; Price et al., 2005; Rogers et al., 2006).

We evaluate the recognition accuracy in two different modes: verification and identification.

The proposed face recognition framework is assessed in a series of face verification and identification experiments performed on the XM2VTS, Extended YaleB, FERET, and AR databases.

The applications of this field could be applied to financial systems, signature verifications and documents recognition where static and dynamic information can be used together.

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