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Anomalous indications in monitoring equipment onboard U.S. Navy vessels must be handled in a timely manner to prevent catastrophic system failure. The development of sensor data analysis techniques to assist a ship's crew in monitoring machinery and summon required ship-to-shore assistance is of considerable benefit to the Navy. In addition, the Navy has a large interest in the development of distance...
This paper describes the comparison of accuracy and performance of two machine learning approaches for visual object detection and tracking vehicles, from an on-road image sequence. The first is a neural network based approach. where an algorithm of multi resolution technique based on Haar basis functions was used to obtain an image with different scales. Thereafter a classification was carried out...
Current object detection systems reach high detection rates, at the expense of requiring a large training database. This paper presents a new method for object detection, that gives state-of-the-art results, while using a reduced training database. The proposed system relies on a new local feature extraction approach inspired by Convolutional Neural Networks, Principal Component Analysis and Multilayer...
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