Download or read book Mod lisation et apprentissage de relations spatiales pour la reconnaissance et l interpr tation d images written by Michaël Clément and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ces dernières années, la quantité de données visuelles produites par divers types de capteurs est en augmentation permanente. L'interprétation et l'indexation automatique de telles données constituent des défis importants pour les domaines liés à la reconnaissance de formes et la vision par ordinateur. Dans ce contexte, la position relative des différents objets d'intérêt composant les images représente une information particulièrement importante pour interpréter leur contenu. Les relations spatiales sont en effet porteuses d'une sémantique riche, qui est fortement liée à la perception humaine. Les travaux de recherche présentés dans cette thèse proposent ainsi d'explorer différentes approches génériques de description de l'information spatiale, en vue de les intégrer dans des systèmes de reconnaissance et d'interprétation d'images de haut niveau. Tout d'abord, nous présentons une approche pour la description de configurations spatiales complexes, où les objets peuvent être imbriqués les uns dans les autres. Cette notion est formalisée par deux nouvelles relations spatiales, nommées enlacement et entrelacement. Nous proposons un modèle qui permet de décrire et de visualiser ces configurations avec une granularité directionnelle. Ce modèle est validé expérimentalement pour des applications en imagerie biomédicale, en télédétection et en analyse d'images de documents. Ensuite, nous présentons un cadre d'apprentissage de relations spatiales composites à partir d'ensembles d'images. Inspirée des approches par sacs de caractéristiques visuelles, cette stratégie permet de construire des vocabulaires de configurations spatiales apparaissant dans les images, à différentes échelles. Ces caractéristiques structurelles peuvent notamment être combinées avec des descriptions locales, conduisant ainsi à des représentations hybrides et complémentaires. Les résultats expérimentaux obtenus sur différentes bases d'images structurées permettent d'illustrer l'intérêt de cette approche pour la reconnaissance et la classification d'images.
Download or read book Repr sentation valuation et utilisation de relations spatiales pour l interpr tation d images written by Olivier Colliot and published by . This book was released on 2003 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: Les relations spatiales telles que l'adjacence, les distances, les directions ou encore les symétries constituent un élément essentiel des descriptions d'agencement spatial entre les objets d'une scène. Notre travail de thèse est articulé autour des questions suivantes. Comment représenter des relations spatiales ? Comment les utiliser pour formaliser la description d'une scène ? Comment les utiliser à des fins de segmentation et de reconnaissance? Dans un premier temps, nous nous intéressons à un type de relation particulier : les symétries planes, et proposons des méthodes pour quantifier le degré desymétrie dans les objets flous et localiser le plan de symétrie d'un objet. Puis nous montrons comment la description des structures cérébrales peut se faire à l'aide d'un ensemble de relations spatiales. Enfin, une méthode pour intégrer ces relations à un modèle déformable est proposée. Elle est utilisée pour construire une procédure de segmentation des structures cérébrales internes.
Download or read book Relations Spatiales Et Raisonnement Spatial Pour L interpr tation D images D observation de la Terre L aide D un Mod le Structurel written by Maria Carolina Vanegas Orozco and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Predicting Structured Data written by Neural Information Processing Systems Foundation and published by MIT Press. This book was released on 2007 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.
Download or read book Terra 2008 written by Leslie Rainer and published by Getty Publications. This book was released on 2011-06-14 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: Earthen architecture constitutes one of the most diverse forms of cultural heritage and one of the most challenging to preserve. It dates from all periods and is found on all continents but is particularly prevalent in Africa, where it has been a building tradition for centuries. Sites range from ancestral cities in Mali to the palaces of Abomey in Benin, from monuments and mosques in Iran and Buddhist temples on the Silk Road to Spanish missions in California. This volume's sixty-four papers address such themes as earthen architecture in Mali, the conservation of living sites, local knowledge systems and intangible aspects, seismic and other natural forces, the conservation and management of archaeological sites, research advances, and training.
Download or read book On the Death and Life of Languages written by Claude Hagège and published by Yale University Press. This book was released on 2009-01-01 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Twenty-five languages die each year; at this pace, half the world’s five thousand languages will disappear within the next century. In this timely book, Claude Hagège seeks to make clear the magnitude of the cultural loss represented by the crisis of language death. By focusing on the relationship of language to culture and the world of ideas, Hagège shows how languages are themselves crucial repositories of culture; the traditions, proverbs, and knowledge of our ancestors reside in the language we use. His wide-ranging examination covers all continents and language families to uncover not only how languages die, but also how they can be revitalized—for example in the remarkable case of Hebrew. In a striking metaphor, Hagège likens languages to bonfires of social behavior that leave behind sparks even after they die; from these sparks languages can be rekindled and made to live again.
Download or read book An Introduction to Computational Learning Theory written by Michael J. Kearns and published by MIT Press. This book was released on 1994-08-15 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with the goals of discovering the common methods underlying efficient learning algorithms and identifying the computational impediments to learning. Each topic in the book has been chosen to elucidate a general principle, which is explored in a precise formal setting. Intuition has been emphasized in the presentation to make the material accessible to the nontheoretician while still providing precise arguments for the specialist. This balance is the result of new proofs of established theorems, and new presentations of the standard proofs. The topics covered include the motivation, definitions, and fundamental results, both positive and negative, for the widely studied L. G. Valiant model of Probably Approximately Correct Learning; Occam's Razor, which formalizes a relationship between learning and data compression; the Vapnik-Chervonenkis dimension; the equivalence of weak and strong learning; efficient learning in the presence of noise by the method of statistical queries; relationships between learning and cryptography, and the resulting computational limitations on efficient learning; reducibility between learning problems; and algorithms for learning finite automata from active experimentation.
Download or read book The Nature of Statistical Learning Theory written by Vladimir Vapnik and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. This second edition contains three new chapters devoted to further development of the learning theory and SVM techniques. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists.
Download or read book Proceedings of the 8th International Conference on Sciences of Electronics Technologies of Information and Telecommunications SETIT 18 Vol 1 written by Med Salim Bouhlel and published by Springer. This book was released on 2019-07-10 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume book presents an unusually diverse selection of research papers, covering all major topics in the fields of information and communication technologies and related sciences. It provides a wide-angle snapshot of current themes in information and power engineering, pursuing a cross-disciplinary approach to do so. The book gathers revised contributions that were presented at the 2018 International Conference: Sciences of Electronics, Technologies of Information and Telecommunication (SETIT'18), held on 20–22 December 2018 in Hammamet, Tunisia. This eighth installment of the event attracted a wealth of submissions, and the papers presented here were selected by a committee of experts and underwent additional, painstaking revision. Topics covered include: · Information Processing · Human-Machine Interaction · Computer Science · Telecommunications and Networks · Signal Processing · Electronics · Image and Video This broad-scoped approach is becoming increasingly popular in scientific publishing. Its aim is to encourage scholars and professionals to overcome disciplinary barriers, as demanded by current trends in the industry and in the consumer market, which are rapidly leading toward a convergence of data-driven applications, computation, telecommunication, and energy awareness. Given its coverage, the book will benefit graduate students, researchers and practitioners who need to keep up with the latest technological advances.
Download or read book Machine Learning written by Kevin P. Murphy and published by MIT Press. This book was released on 2012-08-24 with total page 1102 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.
Download or read book Making a Point written by David Crystal and published by Macmillan + ORM. This book was released on 2015-10-06 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: The triumphant concluding volume in David Crystal's classic trilogy on the English language combines the first history of English punctuation with a complete guide on how to use it. Behind every punctuation mark lies a thousand stories. The punctuation of English, marked with occasional rationality, is founded on arbitrariness and littered with oddities. For a system of a few dozen marks it generates a disproportionate degree of uncertainty and passion, inspiring organizations like the Apostrophe Protection Society and sending enthusiasts, correction-pens in hand, in a crusade against error across the United States. Professor Crystal leads us through this minefield with characteristic wit, clarity, and commonsense. In David Crystal's Making a Point, he gives a fascinating account of the origin and progress of every kind of punctuation mark over one and a half millennia and offers sound advice on how punctuation may be used to meet the needs of every occasion and context.
Download or read book Innovate Bristol written by Sven Boermeester and published by . This book was released on 2019-12 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Innovate Bristol highlights and celebrates those companies and individuals that are actively working at building a better tomorrow for all. Innovation Ecosystems thrive through the involvement and support of companies and individuals from all industries, which is why the Innovate series not only focuses on the innovators but also those people whom the Innovation Ecosystem, would not be able to thrive without.
Download or read book Philosophy in a Time of Terror written by Giovanna Borradori and published by University of Chicago Press. This book was released on 2013-05-28 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea for Philosophy in a Time of Terror was born hours after the attacks on 9/11 and was realized just weeks later when Giovanna Borradori sat down with Jürgen Habermas and Jacques Derrida in New York City, in separate interviews, to evaluate the significance of the most destructive terrorist act ever perpetrated. This book marks an unprecedented encounter between two of the most influential thinkers of our age as here, for the first time, Habermas and Derrida overcome their mutual antagonism and agree to appear side by side. As the two philosophers disassemble and reassemble what we think we know about terrorism, they break from the familiar social and political rhetoric increasingly polarized between good and evil. In this process, we watch two of the greatest intellects of the century at work.
Download or read book Reinforcement Learning second edition written by Richard S. Sutton and published by MIT Press. This book was released on 2018-11-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
Download or read book Artificial Intelligence in Society written by OECD and published by OECD Publishing. This book was released on 2019-06-11 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.
Download or read book Human Scale Development written by Manfred A. Max-Neef and published by . This book was released on 1991 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a people-centred approach to development.
Download or read book Active Subspaces written by Paul G. Constantine and published by SIAM. This book was released on 2015-03-17 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientists and engineers use computer simulations to study relationships between a model's input parameters and its outputs. However, thorough parameter studies are challenging, if not impossible, when the simulation is expensive and the model has several inputs. To enable studies in these instances, the engineer may attempt to reduce the dimension of the model's input parameter space. Active subspaces are an emerging set of dimension reduction tools that identify important directions in the parameter space. This book describes techniques for discovering a model's active subspace and proposes methods for exploiting the reduced dimension to enable otherwise infeasible parameter studies. Readers will find new ideas for dimension reduction, easy-to-implement algorithms, and several examples of active subspaces in action.
