Learning Dynamic Spatial Relations
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Learning Dynamic Spatial Relations
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Author : Andreas Bihlmaier
language : en
Publisher: Springer
Release Date : 2016-08-12
Learning Dynamic Spatial Relations written by Andreas Bihlmaier and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-12 with Computers categories.
Andreas Bihlmaier describes a novel method to model dynamic spatial relations by machine learning techniques. The method is applied to the task of representing the tacit knowledge of a trained camera assistant in minimally-invasive surgery. The model is then used for intraoperative control of a robot that autonomously positions the endoscope. Furthermore, a modular robotics platform is described, which forms the basis for this knowledge-based assistance system. Promising results from a complex phantom study are presented.
Learning Dynamic Spatial Relations
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Author : Daniel Jordan
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2012-06-21
Learning Dynamic Spatial Relations written by Daniel Jordan and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-21 with categories.
Furthermore, a modular robotics platform is described, which forms the basis for this knowledge-based assistance system. Promising results from a complex phantom study are presented.Daniel Jordan describes a novel method to model dynamic spatial relations by machine learning techniques. The method is applied to the task of representing the tacit knowledge of a trained camera assistant in minimally-invasive surgery. The model is then used for intraoperative control of a robot that autonomously positions the endoscope.
Learning Dynamic Spatial Relations
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Author : Malcolm Jeremiah
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-04-12
Learning Dynamic Spatial Relations written by Malcolm Jeremiah and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-12 with categories.
Promising results from a complex phantom study are presented.The method is applied to the task of representing the tacit knowledge of a trained camera assistant in minimally-invasive surgery. The model is then used for intraoperative control of a robot that autonomously positions the endoscope. Furthermore, a modular robotics platform is described, which forms the basis for this knowledge-based assistance system.
Learning Dynamic Spatial Relations
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Author : Todd Perez
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-11-22
Learning Dynamic Spatial Relations written by Todd Perez and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-22 with categories.
The method is applied to the task of representing the tacit knowledge of a trained camera assistant in minimally-invasive surgery. The model is then used for intraoperative control of a robot that autonomously positions the endoscope. Furthermore, a modular robotics platform is described, which forms the basis for this knowledge-based assistance system. Promising results from a complex phantom study are presented.
The Cambridge Handbook Of Visuospatial Thinking
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Author : Priti Shah
language : en
Publisher: Cambridge University Press
Release Date : 2005-07-25
The Cambridge Handbook Of Visuospatial Thinking written by Priti Shah and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-07-25 with Psychology categories.
The ability to navigate across town, comprehend an animated display of the functioning of the human heart, view complex multivariate data on a company's website, or to read an architectural blueprint and form a three-dimensional mental picture of a house are all tasks involving visuospatial thinking. The field of visuospatial thinking is a relatively diverse interdisciplinary research enterprise. An understanding of visuospatial thinking, and in particular, how people represent and process visual and spatial information, is relevant not only to cognitive psychology but also education, geography, architecture, medicine, design computer science/artificial intelligence, semiotics and animal cognition. The goal of this book, first published in 2005, is to present a broad overview of research on visuospatial thinking that can be used by researchers as well as students interested in this topic in both basic research and applied/naturalistic contexts.
Learning From Dynamic Visualization
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Author : Richard Lowe
language : en
Publisher: Springer
Release Date : 2017-05-18
Learning From Dynamic Visualization written by Richard Lowe and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-18 with Education categories.
This volume tackles issues arising from today’s high reliance on learning from visualizations in general and dynamic visualizations in particular at all levels of education. It reflects recent changes in educational practice through which text no longer occupies its traditionally dominant role as the prime means of presenting to-be-learned information to learners. Specifically, the book targets the dynamic visual components of multimedia educational resources and singles out how they can influence learning in their own right. It aims to help bridge the increasing gap between pervasive adoption of dynamic visualizations in educational practice and our limited understanding of the role that these representations can play in learning. The volume has recruited international leaders in the field to provide diverse perspectives on the dynamic visualizations and learning. It is the first comprehensive book on the topic that brings together contributions from both renowned researchers and expert practitioners. Rather than aiming to present a broad general overview of the field, it focuses on innovative work that is at the cutting edge. As well as further developing and complementing existing approaches, the contributions emphasize fresh ideas that may challenge existing orthodoxies and point towards future directions for the field. They seek to stimulate further new developments in the design and use of dynamic visualizations for learning as well as the rigorous, systematic investigation of their educational effectiveness.the volume="" sheds="" light="" on="" the="" complex="" and="" highly="" demanding="" processes="" of="" conceptualizing,="" developing="" implementing="" dynamic="" visualizations="" in="" practice="" as="" well="" challenges="" relating="" research="" application="" perspectives.
Representing Space In Cognition
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Author : Thora Tenbrink
language : en
Publisher: Explorations in Language and S
Release Date : 2013-10
Representing Space In Cognition written by Thora Tenbrink and has been published by Explorations in Language and S this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10 with Computers categories.
This book considers how people talk about their environment, find their way in new surroundings, and plan routes. Leading scholars and researchers in psychology, linguistics, computer science, and geography show how empirical research can be used to inform formal approaches towards the development of intuitive assistance systems.
Deep Learning Dynamics The Science Behind Ai Training
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Author : ABHIJEET SARKAR
language : en
Publisher: ABHIJEET SARKAR
Release Date : 2025-01-07
Deep Learning Dynamics The Science Behind Ai Training written by ABHIJEET SARKAR and has been published by ABHIJEET SARKAR this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-07 with Computers categories.
"Deep Learning Dynamics: The Science Behind AI Training" , Written by Abhijeet Sarkar is your ultimate guide to understanding the science and art of training artificial intelligence systems. Perfect for AI enthusiasts, data scientists, researchers, and tech professionals, this comprehensive book uncovers the intricate mechanisms behind modern deep learning, providing practical insights and advanced knowledge to help you navigate the rapidly evolving AI landscape. With 34 in-depth chapters, Abhijeet Sarkar takes readers on a transformative journey through the key principles and cutting-edge techniques that define AI training. From neural network architectures and optimization strategies to handling imbalanced datasets and mitigating overfitting, this book addresses every major facet of deep learning. It's an indispensable resource for anyone looking to master the dynamic processes that power AI. What You'll Learn: Neural Network Foundations: Dive into the architecture, activation functions, and learning paradigms that form the backbone of AI. Optimization Techniques: Explore the intricacies of gradient descent, Adam, RMSProp, and other algorithms critical for efficient learning. Loss Functions and Regularization: Understand how to optimize models for accuracy while avoiding overfitting. Transfer Learning and Pretrained Models: Discover how to accelerate training and improve performance with cutting-edge methodologies. Emerging Trends: Gain insights into advanced topics like attention mechanisms, transformers, multimodal models, quantum machine learning, and the energy efficiency of AI training. Debugging and Tuning: Learn how to diagnose and enhance model performance through iterative improvements. Each chapter blends foundational theory with real-world applications, providing readers with actionable knowledge that bridges the gap between research and practice. Sarkar also delves into ethical considerations, model interpretability, and the societal implications of AI, ensuring a holistic understanding of this transformative technology. Who This Book Is For: Whether you're a seasoned professional seeking advanced insights or a beginner aiming to build a strong foundation in AI, Deep Learning Dynamics is tailored to your needs. Students, academics, and industry practitioners will all find immense value in this detailed and practical guide. Why Choose This Book? Comprehensive Coverage: Every aspect of deep learning training is explored in depth. Future-Focused Insights: Stay ahead with discussions on the latest advancements and trends. Practical Examples: Case studies and step-by-step breakdowns bring concepts to life. Expert Authorship: Written by Abhijeet Sarkar, a renowned thought leader in generative AI and digital creativity. Deep Learning Dynamics: The Science Behind AI Training isn't just a book—it's your companion in mastering the forces shaping the future of artificial intelligence. Whether you're building the next breakthrough application or exploring the potential of self-learning systems, this book equips you with the tools to succeed. Transform your understanding of AI with Deep Learning Dynamics. Order your copy today and lead the charge in the AI revolution!
Re Shaping Learning A Critical Reader
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Author : Anne Boddington
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-01-01
Re Shaping Learning A Critical Reader written by Anne Boddington and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-01 with Education categories.
Learning Spaces is an emerging field, fuelled by a growing interest in the relationships between learning and spaces in which it takes place, whether conceptual, personal, social, physical and/or virtual. It is concerned with making learning spaces that can better meet the needs of 21st century learners, academics and other related publics. In post-compulsory education this has opened up many interesting and important issues. There remains a lack of any theoretical understanding as to how such spaces should be conceived or designed; and hardly any critical discussion about effective frameworks for either the development of contemporary learning spaces or for assessing their impact on learning, teaching and research. At the same time, there is much debate about what the purposes of post-compulsory education should be, as well as concerns about where and by whom it should be provided. We therefore need to urgently improve our understanding of the interactions between learning and space. It is essential that we not only share perspectives, theories and methodologies but also critically reflect on our own different assumptions, and work together to build better models for post-compulsory education in the future. To help in this process this book is designed as a ‘critical reader’ that can enable researchers, academics, students and managers involved in Learning Spaces to share and engage with some key ideas, issues and texts. A central aim is to bring together some of the best research from across the many different disciplines concerned with learning spaces, including education, architecture, anthropology, human-computer interaction, estate planning and museum studies. Reshaping Learning is thus intended for anyone interested in, and wanting to think more about, learning spaces whether as users, clients or managers; or who are want to better understand interactions between the social and the spatial.
Innovative Technologies And Learning
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Author : Lisbet Rønningsbakk
language : en
Publisher: Springer Nature
Release Date : 2019-11-25
Innovative Technologies And Learning written by Lisbet Rønningsbakk and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-25 with Education categories.
This book constitutes the refereed proceedings of the Second International Conference on Innovative Technologies and Learning, ICITL 2019, held in Tromsø, Norway, in December 2019. The 85 full papers presented together with 4 short papers were carefully reviewed and selected from 189 submissions. The papers are organized in the following topical sections: application and design of innovative learning software; artificial intelligence and data mining in education; augmented and virtual reality in education; computational thinking in education; design and framework of learning systems; educational data analytics techniques and adaptive learning applications; evaluation, assessment and test; innovative learning in education; mobile learning; new perspectives in education; online course and web-based environment; pedagogies to innovative technologies; social media learning; technologies enhanced language learning; and technology and engineering education.