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In the late 1800s India seemed to be left behind by the Industrial Revolution. Today there are many technological Indians around the world but relatively few focus on India’s problems. Ross Bassett—drawing on a database of every Indian to graduate from the Massachusetts Institute of Technology through 2000—explains the role of MIT in this outcome.
First multi-year cumulation covers six years: 1965-70.
The highly anticipated new edition of Phil Bradley's essential guide to internet search (formerly titled The Advanced Internet Searcher's Handbook) is here. This no-nonsense handbook will give you the tools to find the information that you need more quickly and effectively than ever before. Since the last edition was published internet search has changed dramatically, with both the amount of information to be found online and the diversity of tools to unlock it expanding exponentially. This new edition, rewritten from scratch, gives readers the information and guidance they need to choose the right search tools and strategies for each information need. From searching social media effectively to tracking down an expert or a news story, and from searching by image to searching multimedia, Bradley introduces the best search engines and tools and explains how to get the most out of them. Whether you are a casual searcher or an expert information retriever, you will find information on a wide variety of search engines that you've never tried before and lists of tools and resources that will make you an even better searcher than you already are. Key topics include: An introduction to the internet An introduction to search engines The Google experience Other free-text search engines Directory- and category-based search engines Multi- and meta-search engines Social media search engines Visual searching Finding people People-based resources Academic and other specialized search engines News-based search engines Multimedia search engines Sample searches with hints and tips on better searching Search utilities and resources to make life easier The future of search. Readership: This book will be an invaluable guide for anyone searching the internet for information, whether you are taking your first steps or are becoming more expert. Those teaching others how to search the internet efficiently will find suggestions and strategies and an eloquent rebuttal of the claim that 'it's all on Google'.
This book provides an overview of the state-of-the art of psychological research on learning and knowledge exchange with digital media, based on a comprehensive research program that was realized at the Leibniz-Institut für Wissensmedien(IWM) during the last decade. The dramatic rise of new tools and technologies, including both hardware devices like smartphones, tablets, multitouch-tables, or stereoscopic screens as well as software environments like Google, Wikipedia, Facebook, Twitter or MOOCs – has fundamentally reshaped teaching, learning, and knowledge exchange. The authors describe an area of digital learning in light of these recent technological developments, specify the relevant theoretical approaches, summarize the main research results from the lab, and discuss their theoretical and practical implications.
Current access paradigms for the Web, i.e., direct access via search engines or database queries and navigational access via static taxonomies, have recently been criticized because they are too rigid or simplistic to effectively cope with a large number of practical search applications. A third paradigm, dynamic taxonomies and faceted search, focuses on user-centered conceptual exploration, which is far more frequent in search tasks than retrieval using exact specification, and has rapidly become pervasive in modern Web data retrieval, especially in critical applications such as product selection for e-commerce. It is a heavily interdisciplinary area, where data modeling, human factors, logic, inference, and efficient implementations must be dealt with holistically. Sacco, Tzitzikas, and their contributors provide a coherent roadmap to dynamic taxonomies and faceted search. The individual chapters, written by experts in each relevant field and carefully integrated by the editors, detail aspects like modeling, schema design, system implementation, search performance, and user interaction. The basic concepts of each area are introduced, and advanced topics and recent research are highlighted. An additional chapter is completely devoted to current and emerging application areas, including e-commerce, multimedia, multidimensional file systems, and geographical information systems. The presentation targets advanced undergraduates, graduate students and researchers from different areas – from computer science to library and information science – as well as advanced practitioners. Given that research results are currently scattered among very different publications, this volume will allow researchers to get a coherent and comprehensive picture of the state of the art.
A timely overview of cutting edge technologies for multimedia retrieval with a special emphasis on scalability The amount of multimedia data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for large scale multimedia search. This book addresses that need, covering the area of multimedia retrieval and placing a special emphasis on scalability. It reports the recent works in large scale multimedia search, including research methods and applications, and is structured so that readers with basic knowledge can grasp the core message while still allowing experts and specialists to drill further down into the analytical sections. Big Data Analytics for Large-Scale Multimedia Search covers: representation learning, concept and event-based video search in large collections; big data multimedia mining, large scale video understanding, big multimedia data fusion, large-scale social multimedia analysis, privacy and audiovisual content, data storage and management for big multimedia, large scale multimedia search, multimedia tagging using deep learning, interactive interfaces for big multimedia and medical decision support applications using large multimodal data. Addresses the area of multimedia retrieval and pays close attention to the issue of scalability Presents problem driven techniques with solutions that are demonstrated through realistic case studies and user scenarios Includes tables, illustrations, and figures Offers a Wiley-hosted BCS that features links to open source algorithms, data sets and tools Big Data Analytics for Large-Scale Multimedia Search is an excellent book for academics, industrial researchers, and developers interested in big multimedia data search retrieval. It will also appeal to consultants in computer science problems and professionals in the multimedia industry.
Based on a NATO Advanced Study Institute held in 1993, this book addresses recent advances in automatic speech recognition and speech coding. The book contains contributions by many of the most outstanding researchers from the best laboratories worldwide in the field. The contributions have been grouped into five parts: on acoustic modeling; language modeling; speech processing, analysis and synthesis; speech coding; and vector quantization and neural nets. For each of these topics, some of the best-known researchers were invited to give a lecture. In addition to these lectures, the topics were complemented with discussions and presentations of the work of those attending. Altogether, the reader is given a wide perspective on recent advances in the field and will be able to see the trends for future work.
A step-by-step guide to patents, from how they work to how to get one to what to do when you get one. This is the book inventors should read before they start down the path of patenting their inventions.