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This book covers a large set of methods in the field of Artificial Intelligence - Deep Learning applied to real-world problems. The fundamentals of the Deep Learning approach and different types of Deep Neural Networks (DNNs) are first summarized in this book, which offers a comprehensive preamble for further problem–oriented chapters. The most interesting and open problems of machine learning in the framework of Deep Learning are discussed in this book and solutions are proposed. This book illustrates how to implement the zero-shot learning with Deep Neural Network Classifiers, which require a large amount of training data. The lack of annotated training data naturally pushes the research...
This book is designed to provide specialists, spectators, and students with a brief and engaging exploration of media usage by radical groups and the laws regulating these grey areas of Jihadi propaganda activities. The authors investigate the use of religion to advance political agendas and the legal challenges involved with balancing regulation with free speech rights. The project also examines the reasons behind the limited success of leading initiatives to curb the surge of online extreme speech, such as Google’s “Redirect Method” or the U.S. State Department’s campaign called “Think Again.” The volume concludes by outlining a number of promising technical approaches that can potently empower tech companies to reduce religious extremist groups’ presence and impact on social media.
Welcome to the 8th International Workshop on Groupware (CRIWG 2002)! The previous workshops took place in Lisbon, Portugal (1995), Puerto Varas, Chile (1996), El Escorial, Spain (1997), Búzios, Brazil (1998), Cancun, Mexico (1999), Madeira, Portugal (2000), and Darmstadt, Germany (2001). CRIWG workshops follow a simple recipe for success: good papers, a small number of participants, extensive time for lively and constructive discussions, and a high level of cooperation both within and between paper sessions. CRIWG 2002 continued this tradition. CRIWG 2002 attracted 36 submissions from 13 countries, nine of them outside Ibero-America. Each of the 36 articles submitted was reviewed by at leas...
The paper is organized as follows: In section 2, we describe the no- orientation-discontinuity interfering model based on a Gaussian stochastic model in analyzing the properties of the interfering strokes. In section 3, we describe the improved canny edge detector with an ed- orientation constraint to detect the edges and recover the weak ones of the foreground words and characters; In section 4, we illustrate, discuss and evaluate the experimental results of the proposed method, demonstrating that our algorithm significantly improves the segmentation quality; Section 5 concludes this paper. 2. The norm-orientation-discontinuity interfering stroke model Figure 2 shows three typical samples o...
This volume presents the proceedings of the 11th International Conference on Computer Analysis of Images and Patterns (CAIP 2005). This conference - ries started about 20 years ago in Berlin. Initially, the conference served as a forum for meetings between scientists from Western and Eastern-block co- tries. Nowadays, the conference attracts participants from all over the world. The conference gives equal weight to posters and oral presentations, and the selected presentation mode is based on the most appropriate communication medium. The program follows a single-track format, rather than parallel s- sions. Non-overlapping oral and poster sessions ensure that all attendees have the opportuni...
Computer vision is the science and technology of making machines that see. It is concerned with the theory, design and implementation of algorithms that can automatically process visual data to recognize objects, track and recover their shape and spatial layout. The International Computer Vision Summer School - ICVSS was established in 2007 to provide both an objective and clear overview and an in-depth analysis of the state-of-the-art research in Computer Vision. The courses are delivered by world renowned experts in the field, from both academia and industry and cover both theoretical and practical aspects of real Computer Vision problems. The school is organized every year by University of Cambridge (Computer Vision and Robotics Group) and University of Catania (Image Processing Lab). Different topics are covered each year. This edited volume contains a selection of articles covering some of the talks and tutorials held during the last editions of the school. The chapters provide an in-depth overview of challenging areas with key references to the existing literature.
The result of more than 15 years of collective research, Multimedia Ontology: Representation and Applications provides a theoretical foundation for understanding the nature of media data and the principles involved in its interpretation. The book presents a unified approach to recent advances in multimedia and explains how a multimedia ontology can
The increasing use of multimedia in computer applications has increased the relevance of visual databases. These databases now need new methods for archiving and retrieving information, and this text concentrates on meeting such a need.
For upper level courses in Computer Vision and Image Analysis.Provides necessary theory and examples for students and practitioners who will work in fields where significant information must be extracted automatically from images. Appropriate for those interested in multimedia, art and design, geographic information systems, and image databases, in addition to the traditional areas of automation, image science, medical imaging, remote sensing and computer cartography. The text provides a basic set of fundamental concepts and algorithms for analyzing images, and discusses some of the exciting evolving application areas of computer vision.