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.
The first phase of the evaluation campaign [63] comprised tasks including document (letters and fax) layout analysis, handwriting recognition (isolated characters, words and blocks of text), writer identification (on words and paragraphs), writer verification, logo recognition and identification of scenario from letters.
In this work, we presented our efforts for visual classification of maritime vessel types, retrieval, identity verification, identity recognition, and estimation of physical attributes such as draught, length, and tonnage of vessels.
