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Similarity in Difference
A study of marriage in preindustrial Europe and Asia that goes beyond the Malthusian East–West dichotomy to find variation within regions and commonality across regions. Since Malthus, an East–West dichotomy has been used to characterize marriage behavior in Asia and Europe. Marriages in Asia were said to be early and universal, in Europe late and non-universal. In Europe, marriages were supposed to be the result of individual choices but, in Asia, decided by families and communities. This book challenges this binary taxonomy of marriage patterns and family systems. Drawing on richer and more nuanced data, the authors compare the interpretations based on aggregate demographic patterns wi...
Prudence and Pressure
Unlike previous studies, in which Asia is measured by European standards, Prudence and Pressure develops a Eurasian perspective.
Integrated Region-Based Image Retrieval
Content-based image retrieval is the set of techniques for retrieving relevant images from an image database on the basis of automatically derived image features. The need for efficient content-based image re trieval has increased tremendously in many application areas such as biomedicine, the military, commerce, education, and Web image clas sification and searching. In the biomedical domain, content-based im age retrieval can be used in patient digital libraries, clinical diagnosis, searching of 2-D electrophoresis gels, and pathology slides. I started my work on content-based image retrieval in 1995 when I was with Stanford University. The project was initiated by the Stan ford University Libraries and later funded by a research grant from the National Science Foundation. The goal was to design and implement a computer system capable of indexing and retrieving large collections of digitized multimedia data available in the libraries based on the media contents. At the time, it seemed reasonable to me that I should discover the solution to the image retrieval problem during the project. Experi ence has certainly demonstrated how far we are as yet from solving this basic problem.
Machine Learning and Statistical Modeling Approaches to Image Retrieval
In the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and processing: the World Wide Web is becoming an enormous and expanding distributed digital library. Along with the development of the Web, image indexing and retrieval have grown into research areas sharing a vision of intelligent agents. Far beyond Web searching, image indexing and retrieval can potentially be applied to many other areas, including biomedicine, space science, biometric identification, digital libraries, the military, education, commerce, culture and entertainment. Machine Learning and Statistical Modeling Approaches to Image Retrieval describes several approaches of integrating machine learning and statistical modeling into an image retrieval and indexing system that demonstrates promising results. The topics of this book reflect authors' experiences of machine learning and statistical modeling based image indexing and retrieval. This book contains detailed references for further reading and research in this field as well.
Web Search: Public Searching of the Web
Web Search: Public Searching of the Web, co-authored by Drs. Amanda Spink and Bernard J. Jansen, is one of the first manuscripts that address the human - system interaction of Web searching in a thorough and complete manner. The authors provide an examination of Web searching from multiple levels of analysis, from theoretical overview to detailed study of term usage, and integrate these different levels of analysis into a coherent picture of how people locate information on the Web using search engines. Drawing primarily on their own research and work in the field, the authors present the temporal changes in, the growth of, and the stability of how people interact with Web search engines. Dr...
ONE QUARTER OF HUMANITY
One Quarter of Humanity presents evidence about historical and contemporary Chinese population behavior that overturns much of the received wisdom about the differences between China and the West. James Lee and Wang Feng argue that there has been effective regulation of population growth in China through a variety of practices that depressed marital fertility to levels far below European standards, and through the widespread practices of infanticide and abortion. These practices and other distinctive features of the Chinese demographic and social system, they argue, led to a different demographic transition in China from the one that took place in the West.
Information Access through Search Engines and Digital Libraries
The Information Management Systems group at the University of Padua has been a major contributor to information retrieval (IR) and digital libraries. The papers in this book include coverage of automated text categorizations, web link analysis algorithms, retrieval in multimedia digital libraries, and multilingual information retrieval. The text will appeal to institutions and companies working on search engines and information retrieval algorithms.
Visualization for Information Retrieval
Information visualization offers a way to reveal hidden patterns in a visual presentation and allows users to seek information from a visual perspective. Readers of this book will gain an in-depth understanding of the current state of information retrieval visualization. They will be introduced to existing problems along with technical and theoretical findings. The book also provides practical details for the implementation of an information retrieval visualization system.
Computing Attitude and Affect in Text: Theory and Applications
Human Language Technology (HLT) and Natural Language Processing (NLP) systems have typically focused on the “factual” aspect of content analysis. Other aspects, including pragmatics, opinion, and style, have received much less attention. However, to achieve an adequate understanding of a text, these aspects cannot be ignored. The chapters in this book address the aspect of subjective opinion, which includes identifying different points of view, identifying different emotive dimensions, and classifying text by opinion. Various conceptual models and computational methods are presented. The models explored in this book include the following: distinguishing attitudes from simple factual asse...
Information Extraction: Algorithms and Prospects in a Retrieval Context
This book covers content recognition in text, elaborating on past and current most successful algorithms and their application in a variety of settings: news filtering, mining of biomedical text, intelligence gathering, competitive intelligence, legal information searching, and processing of informal text. Today, there is considerable interest in integrating the results of information extraction in retrieval systems, because of the demand for search engines that return precise answers to flexible information queries.
