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Identification Adaptation Learning
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Book Synopsis Identification, Adaptation, Learning by : Sergio Bittanti
Download or read book Identification, Adaptation, Learning written by Sergio Bittanti and published by Springer Science & Business Media. This book was released on 1996-07-01 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects the lectures given at the NATO Advanced Study Institute From Identijication to Learning held in Villa Olmo, Como, Italy, from August 22 to September 2, 1994. The school was devoted to the themes of Identijication, Adaptation and Learning, as they are currently understood in the Information and Contral engineering community, their development in the last few decades, their inter connections and their applications. These titles describe challenging, exciting and rapidly growing research areas which are of interest both to contral and communication engineers and to statisticians and computer scientists. In accordance with the general goals of the Institute, and notwithstanding the rat her advanced level of the topics discussed, the presentations have been generally kept at a fairly tutorial level. For this reason this book should be valuable to a variety of rearchers and to graduate students interested in the general area of Control, Signals and Information Pracessing. As the goal of the school was to explore a common methodologicalline of reading the issues, the flavor is quite interdisciplinary. We regard this as an original and valuable feature of this book.
Book Synopsis Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning by : Thanasis Daradoumis
Download or read book Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning written by Thanasis Daradoumis and published by Springer. This book was released on 2012-03-09 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptation and personalization have been extensively studied in CSCL research community aiming to design intelligent systems that adaptively support eLearning processes and collaboration. Yet, with the fast development in Internet technologies, especially with the emergence of new data technologies and the mobile technologies, new opportunities and perspectives are opened for advanced adaptive and personalized systems. Adaptation and personalization are posing new research and development challenges to nowadays CSCL systems. In particular, adaptation should be focused in a multi-dimensional way (cognitive, technological, context-aware and personal). Moreover, it should address the particularities of both individual learners and group collaboration. As a consequence, the aim of this book is twofold. On the one hand, it discusses the latest advances and findings in the area of intelligent adaptive and personalized learning systems. On the other hand it analyzes the new implementation perspectives for intelligent adaptive learning and collaborative systems that are brought by the advances in scripting languages, IMS LD, educational modeling languages and learning activity management systems. Given the variety of learning needs as well as the existence of different technological solutions, the book exemplifies the methodologies and best practices through several case studies and adaptive real-world collaborative learning scenarios, which show the advancement in the field of analysis, design and implementation of intelligent adaptive and personalized systems.
Book Synopsis Computer Vision – ECCV 2020 by : Andrea Vedaldi
Download or read book Computer Vision – ECCV 2020 written by Andrea Vedaldi and published by Springer Nature. This book was released on 2020-11-15 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications by : Chiong, Raymond
Download or read book Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications written by Chiong, Raymond and published by IGI Global. This book was released on 2009-09-30 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This volume offers intriguing applications, reviews and additions to the methodology of intelligent computing, presenting the emerging trends of state-of-the-art intelligent systems and their practical applications"--Provided by publisher.
Book Synopsis Adapting Environmental Education Materials by :
Download or read book Adapting Environmental Education Materials written by and published by DIANE Publishing. This book was released on 1999 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Adaptation and Learning in Automatic Systems by : Tsypkin
Download or read book Adaptation and Learning in Automatic Systems written by Tsypkin and published by Academic Press. This book was released on 1971-06-26 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptation and Learning in Automatic Systems
Book Synopsis The Adaptation Advantage by : Heather E. McGowan
Download or read book The Adaptation Advantage written by Heather E. McGowan and published by John Wiley & Sons. This book was released on 2020-04-14 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide for individuals and organizations navigating the complex and ambiguous Future of Work Foreword by New York Times columnist and best-selling author Thomas L. Friedman Technology is changing work as we know it. Cultural norms are undergoing tectonic shifts. A global pandemic proves that we are inextricably connected whether we choose to be or not. So much change, so quickly, is disorienting. It's undermining our sense of identity and challenging our ability to adapt. But where so many see these changes as threatening, Heather McGowan and Chris Shipley see the opportunity to open the flood gates of human potential—if we can change the way we think about work and leadership. They have dedicated the last 5 years to understanding how technical, business, and cultural shifts affecting the workplace have brought us to this crossroads, The result is a powerful and practical guide to the future of work for leaders and employees. The future can be better, but only if we let go of our attachment to our traditional (and disappearing) ideas about careers, and what a "good job" looks like. Blending wisdom from interviews with hundreds of executives, The Adaptation Advantage explains the profound changes happening in the world of work and posits the solution: new ways to think about careers that detach our sense of pride and personal identity from our job title, and connect it to our sense of purpose. Activating purpose, the authors suggest, will inherently motivate learning, engagement, empowerment, and lead to new forms of pride and identity throughout the workforce. Only when we let go of our rigid career identities can we embrace and appreciate the joys of learning and adapting to new realities—and help our organizations do the same. Of course, making this transition is hard. It requires leaders who can attract and motivate cognitively diverse teams fueled by a strong sense of purpose in an environment of psychological safety—despite fierce competition and external pressures. Adapting to the future of work has always called for strong leadership. Now, as a pandemic disrupts so many aspects of work, adapting is a leadership imperative. The Adaptation Advantage is an essential guide to help leaders meet that challenge.
Book Synopsis Person Re-Identification with Limited Supervision by : Rameswar Panda
Download or read book Person Re-Identification with Limited Supervision written by Rameswar Panda and published by Springer Nature. This book was released on 2022-06-01 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt: Person re-identification is the problem of associating observations of targets in different non-overlapping cameras. Most of the existing learning-based methods have resulted in improved performance on standard re-identification benchmarks, but at the cost of time-consuming and tediously labeled data. Motivated by this, learning person re-identification models with limited to no supervision has drawn a great deal of attention in recent years. In this book, we provide an overview of some of the literature in person re-identification, and then move on to focus on some specific problems in the context of person re-identification with limited supervision in multi-camera environments. We expect this to lead to interesting problems for researchers to consider in the future, beyond the conventional fully supervised setup that has been the framework for a lot of work in person re-identification. Chapter 1 starts with an overview of the problems in person re-identification and the major research directions. We provide an overview of the prior works that align most closely with the limited supervision theme of this book. Chapter 2 demonstrates how global camera network constraints in the form of consistency can be utilized for improving the accuracy of camera pair-wise person re-identification models and also selecting a minimal subset of image pairs for labeling without compromising accuracy. Chapter 3 presents two methods that hold the potential for developing highly scalable systems for video person re-identification with limited supervision. In the one-shot setting where only one tracklet per identity is labeled, the objective is to utilize this small labeled set along with a larger unlabeled set of tracklets to obtain a re-identification model. Another setting is completely unsupervised without requiring any identity labels. The temporal consistency in the videos allows us to infer about matching objects across the cameras with higher confidence, even with limited to no supervision. Chapter 4 investigates person re-identification in dynamic camera networks. Specifically, we consider a novel problem that has received very little attention in the community but is critically important for many applications where a new camera is added to an existing group observing a set of targets. We propose two possible solutions for on-boarding new camera(s) dynamically to an existing network using transfer learning with limited additional supervision. Finally, Chapter 5 concludes the book by highlighting the major directions for future research.
Book Synopsis Adaptive and Intelligent Systems by : Abdelhamid Bouchachia
Download or read book Adaptive and Intelligent Systems written by Abdelhamid Bouchachia and published by Springer. This book was released on 2011-09-25 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the International Conference on Adaptive and Intelligent Systems, ICAIS 2011, held in Klagenfurt, Austria, in September 2011. The 36 full papers included in these proceedings together with the abstracts of 4 invited talks, were carefully reviewed and selected from 72 submissions. The contributions are organized under the following topical sections: incremental learning; adaptive system architecture; intelligent system engineering; data mining and pattern recognition; intelligent agents; and computational intelligence.
Book Synopsis Adaptation to Climate Change through Water Resources Management by : Dominic Stucker
Download or read book Adaptation to Climate Change through Water Resources Management written by Dominic Stucker and published by Routledge. This book was released on 2014-08-27 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: The impacts of human-induced climate change are largely mediated by water, such as alterations in precipitation and glacial melt patterns, variations in river flow, increased occurrence of droughts and floods, and sea level rise in densely populated coastal areas. Such phenomena impact both urban and rural communities in developed, emerging, and developing countries. Taking a systems approach, this book analyzes evidence from 26 countries and identifies common barriers and bridges for local adaptation to climate change through water resources management. It includes a global set of case studies from places experiencing increased environmental and social pressure due to population growth, development and migration, including in Africa, Asia, Australia, Europe, North and South America. All chapters consider the crosscutting themes of adaptive capacity, equity, and sustainability. These point to resilient water allocation policies and practices that are capable of protecting social and environmental interests, whilst ensuring the efficient use of an often-scarce resource.
Book Synopsis Machine Learning in Non-Stationary Environments by : Masashi Sugiyama
Download or read book Machine Learning in Non-Stationary Environments written by Masashi Sugiyama and published by MIT Press. This book was released on 2012-03-30 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Theory, algorithms, and applications of machine learning techniques to overcome “covariate shift” non-stationarity. As the power of computing has grown over the past few decades, the field of machine learning has advanced rapidly in both theory and practice. Machine learning methods are usually based on the assumption that the data generation mechanism does not change over time. Yet real-world applications of machine learning, including image recognition, natural language processing, speech recognition, robot control, and bioinformatics, often violate this common assumption. Dealing with non-stationarity is one of modern machine learning's greatest challenges. This book focuses on a specific non-stationary environment known as covariate shift, in which the distributions of inputs (queries) change but the conditional distribution of outputs (answers) is unchanged, and presents machine learning theory, algorithms, and applications to overcome this variety of non-stationarity. After reviewing the state-of-the-art research in the field, the authors discuss topics that include learning under covariate shift, model selection, importance estimation, and active learning. They describe such real world applications of covariate shift adaption as brain-computer interface, speaker identification, and age prediction from facial images. With this book, they aim to encourage future research in machine learning, statistics, and engineering that strives to create truly autonomous learning machines able to learn under non-stationarity.
Book Synopsis Domain Adaptation in Computer Vision Applications by : Gabriela Csurka
Download or read book Domain Adaptation in Computer Vision Applications written by Gabriela Csurka and published by Springer. This book was released on 2017-09-10 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive text/reference presents a broad review of diverse domain adaptation (DA) methods for machine learning, with a focus on solutions for visual applications. The book collects together solutions and perspectives proposed by an international selection of pre-eminent experts in the field, addressing not only classical image categorization, but also other computer vision tasks such as detection, segmentation and visual attributes. Topics and features: surveys the complete field of visual DA, including shallow methods designed for homogeneous and heterogeneous data as well as deep architectures; presents a positioning of the dataset bias in the CNN-based feature arena; proposes detailed analyses of popular shallow methods that addresses landmark data selection, kernel embedding, feature alignment, joint feature transformation and classifier adaptation, or the case of limited access to the source data; discusses more recent deep DA methods, including discrepancy-based adaptation networks and adversarial discriminative DA models; addresses domain adaptation problems beyond image categorization, such as a Fisher encoding adaptation for vehicle re-identification, semantic segmentation and detection trained on synthetic images, and domain generalization for semantic part detection; describes a multi-source domain generalization technique for visual attributes and a unifying framework for multi-domain and multi-task learning. This authoritative volume will be of great interest to a broad audience ranging from researchers and practitioners, to students involved in computer vision, pattern recognition and machine learning.
Book Synopsis Mechanics and Control by : R.S. Guttalu
Download or read book Mechanics and Control written by R.S. Guttalu and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Workshop on Control Mechanics has been held at the University of South ern California annually since 1988 under the leadership of late Professor Janislaw M. Skowronski. The primary goal of Professor Skowronski in organizing this series of work shops was to promote the use of advanced mechanics method in control theory with a special emphasis on the control of nonlinear mechanical systems subject to uncertainty. This goal has been achieved through a consistent participation of a large number of researchers in the field of control and mechanics and an intensive exchange of their ideas. Professor Skowronski passed away unexpectedly on March 21, 1992, after the conclusion of the Fifth Workshop. The great success of the Fifth Workshop as well as the entire Control Mechanics Workshops over the years is almost exclusively due to his dedication, enthusiasm, and organizational capabilities. His untimely demise is a great loss to us and to the mechanics and control community. The proceedings of the Fifth Workshop presented in this volume are dedicated to Professor Angelo Miele, one of the pioneers and ,a leading contributor in many fields of control theory and its applications. His contribution spans a wide range of topics such as optimization theory, flight mechanics, astrodynamics, ocean engineering, and numerical methods. The presentations in the workshop reflected many of the areas in which Professor Miele has been active. The papers included in this volume are divided into three major groups of topics.
Book Synopsis Green Finance and Investment Scaling Up Adaptation Finance in Developing Countries Challenges and Opportunities for International Providers by : OECD
Download or read book Green Finance and Investment Scaling Up Adaptation Finance in Developing Countries Challenges and Opportunities for International Providers written by OECD and published by OECD Publishing. This book was released on 2023-11-16 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report analyses current trends of adaptation finance provided and mobilised by developed countries for developing countries. It explores potential action areas for international providers to scale up funding for climate change adaptation, including by unlocking the potential of the private sector.
Author :Intergovernmental Panel on Climate Change (IPCC) Publisher :Cambridge University Press ISBN 13 :1009445383 Total Pages :3070 pages Book Rating :4.0/5 (94 download)
Book Synopsis Climate Change 2022 – Impacts, Adaptation and Vulnerability by : Intergovernmental Panel on Climate Change (IPCC)
Download or read book Climate Change 2022 – Impacts, Adaptation and Vulnerability written by Intergovernmental Panel on Climate Change (IPCC) and published by Cambridge University Press. This book was released on 2023-06-22 with total page 3070 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Working Group II contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) provides a comprehensive assessment of the scientific literature relevant to climate change impacts, adaptation and vulnerability. The report recognizes the interactions of climate, ecosystems and biodiversity, and human societies, and integrates across the natural, ecological, social and economic sciences. It emphasizes how efforts in adaptation and in reducing greenhouse gas emissions can come together in a process called climate resilient development, which enables a liveable future for biodiversity and humankind. The IPCC is the leading body for assessing climate change science. IPCC reports are produced in comprehensive, objective and transparent ways, ensuring they reflect the full range of views in the scientific literature. Novel elements include focused topical assessments, and an atlas presenting observed climate change impacts and future risks from global to regional scales. Available as Open Access on Cambridge Core.
Book Synopsis Pattern Recognition and Machine Learning by : Christopher M. Bishop
Download or read book Pattern Recognition and Machine Learning written by Christopher M. Bishop and published by Springer. This book was released on 2016-08-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
Book Synopsis Adaptation Studies and Learning by : Laurence Raw
Download or read book Adaptation Studies and Learning written by Laurence Raw and published by Rowman & Littlefield. This book was released on 2013 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptation Studies is a fast-emerging discipline which has expanded into other areas of media scholarship. With its roots in literature and film, this discipline can be applied to much broader uses, even as a process that governs every aspect of our lives. Indeed, by expanding the scope of "adaptation" to encompass a larger perspective, this discipline can promote lifelong learning that emphasizes communication, social interaction, and aesthetic engagement. In Adaptation Studies and Learning: New Frontiers, Laurence Raw and Tony Gurr seek to redefine the ways in which adaptation is taught and learned. Comprised of essays, reflections, and "learning conversations" about the ways in which this approach to adaptation might be implemented, this book focuses on issues of curriculum construction, the role of technology, and the importance of collaboration. Including a series of case-studies and classroom experiences, the authors explore the relationship between adaptation and related disciplines such as history, media, and translation. The book also includes a series of case studies from the world of cinema, showing how collaboration and social interaction lies at the heart of successful film adaptations. By looking beyond the classroom, Raw and Gurr demonstrate how adaptation studies involves real-world issues of prime importance--not only to film and theater professionals, but to all learners. Covering a wide range of material, including film history, educational theory, and literary criticism, Adaptation Studies and Learning offers a radical repositioning of the way we think about adaptation both inside and outside academia.
