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In this paper, we present the main results of the BioSecure Signature Evaluation Campaign (ESRA'2011). The objective of ESRA'2011 is to evaluate through two different tasks the resistance of different online signature systems to skilled forgeries categorized automatically according to their quality. Task 1 aims at studying with only coordinate time functions the influence of acquisition conditions...
Traditional use of dynamic time warping for signature verification consists of forming some dissimilarity measure between the signature in question and a set of "template signatures". In this paper, we propose to replace this set with the hidden signature and use it to calculate the normalized errors of signature under verification. The approach was tested on the MCYT database, using both...
We perform analysis of packet end-to-end delay in order to explain the processes taking place in the network. We build statistical models to describe the packets end-to-end delay distribution. Our experiments show that packet delay in an ad-hoc network of mobile robots depends on the number of hops traveled by the packet. We intend to use this dependency when implementing a modification of the learning...
We investigate adaptive routing in ad-hoc networks of mobile robots with an application of geographical cells. We show that the concept of geographical cells introduce an efficient information management system in ad-hoc networks of mobile robots. As compared to other existing ad-hoc routing concepts, geographical cell routing shows superiority in terms of delay, delay jitter and delivery ratio. Since...
We introduce an novel approach to information management in ad-hoc networks, based on geographical cells concept. Geographical cells are used to comprise the information within the geographical location. We apply this approach to solve the problem of routing in ad-hoc networks for various mobility models. We show that the geographical cells approach may improve the overall performance of the underlying...
The paper presents a comprehensive review of learning methods used to solve various problems in ad-hoc networks. The learning methods are classified according to learning mechanisms and problems solved. Nine representative approaches are discussed in more detail.
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