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Resistant Starch
The discovery of resistant starch is considered one of the major developments in our understanding of the importance of carbohydrates for health in the past twenty years. Resistant starch, which is resistant to digestion and absorption in the human small intestine with complete or partial fermentation in the large intestine, is naturally present in foods. Resistant Starch: Sources, Applications and Health Benefits covers the intrinsic and extrinsic sources of resistant starch in foods, and compares different methods of measuring resistant starch and their strengths and limitations. Applications in different food categories are fully covered, with descriptions of how resistant starch performs in bakery, dairy, snack, breakfast cereals, pasta, noodles, confectionery, meat, processed food and beverage products.
Encountering Crises of the Mind
Mental health and madness have been challenging topics for historians. The field has been marked by tension between the study of power, expertise and institutional control of insanity, and the study of patient experiences. This collection contributes to the ongoing discussion on how historians encounter mental ‘crises’. It deals with diagnoses, treatments, experiences and institutions largely outside the mainstream historiography of madness – in what might be described as its peripheries and borderlands (from medieval Europe to Cold War Hungary, from the Atlantic slave coasts to Indian princely states, and to the Nordic countries). The chapters highlight many contests and multiple stakeholders involved in dealing with mental suffering, and the importance of religion, lay perceptions and emotions in crises of mind. Contributors are Jari Eilola, Waltraud Ernst, Anssi Halmesvirta, Markku Hokkanen, Kalle Kananoja, Tuomas Laine-Frigrén, Susanna Niiranen, Anu Rissanen, Kirsi Tuohela, and Jesper Vaczy Kragh.
Computer Vision Using Local Binary Patterns
The recent emergence of Local Binary Patterns (LBP) has led to significant progress in applying texture methods to various computer vision problems and applications. The focus of this research has broadened from 2D textures to 3D textures and spatiotemporal (dynamic) textures. Also, where texture was once utilized for applications such as remote sensing, industrial inspection and biomedical image analysis, the introduction of LBP-based approaches have provided outstanding results in problems relating to face and activity analysis, with future scope for face and facial expression recognition, biometrics, visual surveillance and video analysis. Computer Vision Using Local Binary Patterns provi...
Computer Vision – ECCV 2020
The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
Education and the Commercial Mindset
America’s commitment to public schooling once seemed unshakable. But today the movement to privatize K–12 education is stronger than ever. Samuel E. Abrams examines the rise of market forces in public education and reveals how a commercial mindset has taken over. “[An] outstanding book.” —Carol Burris, Washington Post “Given the near-complete absence of public information and debate about the stealth effort to privatize public schools, this is the right time for the appearance of [this book]. Samuel E. Abrams, a veteran teacher and administrator, has written an elegant analysis of the workings of market forces in education.” —Diane Ravitch, New York Review of Books “Education and the Commercial Mindset provides the most detailed and comprehensive analysis of the school privatization movement to date. Students of American education will learn a great deal from it.” —Leo Casey, Dissent
Textures
Over 100 royalty-free illustrations of fieldstone, reptile skin, pressed cork, raffia weave, lace, straw matting, beach pebbles, European marble, water, many other materials. Immediately usable designs can be scanned into PCs.
Handbook of Pattern Recognition and Computer Vision
The very significant advances in computer vision and pattern recognition and their applications in the last few years reflect the strong and growing interest in the field as well as the many opportunities and challenges it offers. The second edition of this handbook represents both the latest progress and updated knowledge in this dynamic field. The applications and technological issues are particularly emphasized in this edition to reflect the wide applicability of the field in many practical problems. To keep the book in a single volume, it is not possible to retain all chapters of the first edition. However, the chapters of both editions are well written for permanent reference.
Handbook of Texture Analysis
Texture analysis is one of the fundamental aspects of human vision by which we discriminate between surfaces and objects. In a similar manner, computer vision can take advantage of the cues provided by surface texture to distinguish and recognize objects. In computer vision, texture analysis may be used alone or in combination with other sensed features (e.g. color, shape, or motion) to perform the task of recognition. Either way, it is a feature of paramount importance and boasts a tremendous body of work in terms of both research and applications.Currently, the main approaches to texture analysis must be sought out through a variety of research papers. This collection of chapters brings together in one handy volume the major topics of importance, and categorizes the various techniques into comprehensible concepts. The methods covered will not only be relevant to those working in computer vision, but will also be of benefit to the computer graphics, psychophysics, and pattern recognition communities, academic or industrial.
