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Artificial intelligence and human rights.
We are publishing this book as the result of a research project carried out by the University of Las Palmas de Gran Canaria in Spain and AFM Krakow University in Poland. Some parts of it were already announced during a scientific Conference organised remotely in Kraków in October 2020. It is now time to present the research findings in writing.The issue of Artificial Intelligence has long raised questions and interests, including those of legal science. A number of problems have not yet been widely analysed, despite the fact that the present time is undoubtedly a time of technological challenges. Therefore, in the presented publication, prepared by the international scientific community, un...
Information Theory in Computer Vision and Pattern Recognition
Information theory has proved to be effective for solving many computer vision and pattern recognition (CVPR) problems (such as image matching, clustering and segmentation, saliency detection, feature selection, optimal classifier design and many others). Nowadays, researchers are widely bringing information theory elements to the CVPR arena. Among these elements there are measures (entropy, mutual information...), principles (maximum entropy, minimax entropy...) and theories (rate distortion theory, method of types...). This book explores and introduces the latter elements through an incremental complexity approach at the same time where CVPR problems are formulated and the most representative algorithms are presented. Interesting connections between information theory principles when applied to different problems are highlighted, seeking a comprehensive research roadmap. The result is a novel tool both for CVPR and machine learning researchers, and contributes to a cross-fertilization of both areas.
Graph-Based Representations in Pattern Recognition
This book constitutes the refereed proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2009, held in Venice, Italy in May 2009. The 37 revised full papers presented were carefully reviewed and selected from 47 submissions. The papers are organized in topical sections on graph-based representation and recognition, graph matching, graph clustering and classification, pyramids, combinatorial maps, and homologies, as well as graph-based segmentation.
Proceedings
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Information Theory in Computer Vision and Pattern Recognition
Information theory has proved to be effective for solving many computer vision and pattern recognition (CVPR) problems (such as image matching, clustering and segmentation, saliency detection, feature selection, optimal classifier design and many others). Nowadays, researchers are widely bringing information theory elements to the CVPR arena. Among these elements there are measures (entropy, mutual information...), principles (maximum entropy, minimax entropy...) and theories (rate distortion theory, method of types...). This book explores and introduces the latter elements through an incremental complexity approach at the same time where CVPR problems are formulated and the most representative algorithms are presented. Interesting connections between information theory principles when applied to different problems are highlighted, seeking a comprehensive research roadmap. The result is a novel tool both for CVPR and machine learning researchers, and contributes to a cross-fertilization of both areas.
Iberian Books Volumes II & III / Libros Ibéricos Volúmenes II y III (2 vols)
Iberian Books II & III offer an indispensable foundational listing of all books published in Spain, Portugal and the New World in the first half of the seventeenth century. They record information on 45,000 items, surviving in 215,000 copies worldwide. Iberian Books II & III ofrece registro de lo publicado en España, Portugal y el Nuevo Mundo, o en español o portugués en otros lugares, entre 1601 y 1650. Recoge 45.000 impresos conservados en 215.000 ejemplares preservados en 1.800 colecciones.
Official Catalogue of the International Exhibition of 1876. (Part 3-4)
Reprint of the original, first published in 1876.
