By Tanja Woronowicz, Peter Hoffmann, Michael Boronowsky (auth.), Ngoc Thanh Nguyen, Aleksander Zgrzywa, Andrzej Czyżewski (eds.)
Growth of data, remarkable within the background of the human race, ends up in the quick improvement of know-how. The strategies that until eventually particularly lately remained within the area of science-fiction now turn into part of our way of life. info platforms and their applied sciences input the entire spheres of human’s lifestyles. Their impression is elevated through community connections and by way of multimedia displays and communications. Our goal was once to provide to the readers of this monograph a really huge overview of the hot medical difficulties in that zone. trying to find their suggestions had turned a important job of diverse medical groups world wide. getting ready this e-book we've requested for cooperation many eu learn groups. In influence the monograph is a suite of rigorously chosen and the main consultant – in our opinion - investigations, recommendations, and purposes offered through diverse medical teams from 9 nations. content material of the booklet has been divided into 5 elements: 1. Multimedia details expertise 2. facts processing in info platforms three. details method purposes four. internet structures and community applied sciences five. E-learning methodologies and structures. we are hoping that the publication may be important for lecturers and scholars of informatics, desktop technology, in addition to of different similar disciplines. we are going to be additionally more than happy if the ebook conjures up the learn neighborhood engaged on the Multimedia and community info platforms domain.
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G. in the neural network learning processes , ). Using this adjusting algorithm before issues of digital image processing, many errors caused by this can be eliminated. Therefore, the algorithm elaborated by the author has a practical value, because due to its simplicity and high efficiency, it can be applied in all fields requiring synchronization of the images. References 1. : Probabilistyczna miara wierności odwzorowania sygnału, Kwartalnik Elektronika i Telekomunikacja, vol. 45 (1999) 2.
In every position of this kind we need to count the NMSE error. The process is finished when the NMSE error achieves the minimum value. 8. 8) Block diagram of the searching algorithm of the rotation’s axis and angle is presented on the Fig. 9. 22 J. Pęksiński and G. Mikołajczak Fig. 8 Sample map of distribution of the correlation coefficient Fig. 9 Block diagram, the algorithm rotation’s angle and axis. 3 The Experimental Results In order to verify the efficiency of the method of determination of the rotation axis and angle between the images, the author performed a number of the tests.
Since the classification error for the validation set did not decrease for over 10 epochs, the training process was terminated. 1). However, if the ANN incorrectly classifies the original sound, it would most likely incorrectly classify the separated sound as well. Thus, in order to achieve better results of the classification for both: original and the separated sounds, feature vectors of subsequent experiments consisted of the descriptors from both FV1 and FV2. 8%), the performance of the separated sounds classification dropped.