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Titlebook: Artificial Intelligence: Methods and Applications; 8th Hellenic Confere Aristidis Likas,Konstantinos Blekas,Dimitris Kalle Conference proce

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https://doi.org/10.1007/978-3-658-14652-8 real time has been already proved, the high dimensionality of state spaces in most game domains can be seen as a significant barrier. This paper studies the popular arcade video game Ms. Pac-Man and outlines an approach to deal with its large dynamical environment. Our motivation is to demonstrate
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Zyklische Codes und CRC-Verfahren, conditional random field (CRF). The unary terms of the CRF employ spatiotemporal features (i.e., HOG3D, STIP and LBP). The pairwise terms are based on kinematic features such as the velocity and the acceleration of the subject. As an exact solution to the maximization of the posterior probability o
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Zyklische Reed-Solomon- und BCH-Codes,ation, since the same scene is taken many times until the desired result is produced. Color histograms have difficulty in capturing the scene changes in rushes videos. In the herein approach shot frames are represented by semantic feature vectors extracted from existing semantic concept detectors. M
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Eingangsbeispiele und Blockcodes,ly to the data is not always a good practice. A common method is to find a meaningful representation of complex data through dimensionality reduction. In this paper we propose novel kernel matrices based on graph theory to be used for dimensionality reduction. The proposed kernel can be embedded in
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https://doi.org/10.1007/978-3-658-14652-8tal data. Traditionally, this procedure employs the manual extraction of information about the position and locomotion of pedestrians in multiple videos. The paper in hand proposes an automated tool for the evaluation of pedestrian models. It employees state of the art techniques for the automated 3
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Forschungsdesign: Organisationsethnografie,or servicing of these systems, the camera in this system is prone to misalignment from its original position. In such situations, although a high quality calibration exists, the accuracy of 3D measurement is affected. In this paper, we propose a statistical tool or methodology which involves: a) Stu
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Fehlermaskierung durch verteilte Systeme the scale-free-like structure observed in their underlying graphs. We propose an implementation scheme that triangulates the underlying graphs of the input networks and uses a hash table based adjacency list to efficiently represent and reason with them. We generate random scale-free-like qualitati
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