The Confidence Map


Book Description

A groundbreaking framework for making better decisions by understanding – and mastering – confidence. What does our desire for certainty and control have to do with our decision-making? According to behavioral economics pioneer Peter Atwater, the answer is simple: everything. In The Confidence Map, Atwater explores the hidden role of confidence in the choices we make, and why events described as being unprecedented are often entirely predictable—if we know what to look for. Using compelling stories from the past and present, Atwater shows readers how to apply the same tools he teaches the world’s leading institutional investors, corporations, and policymakers to help them make sense of complex situations and optimize strategy. You will learn: • How psychological distance consistently affects the choices we make • Why "Me-Here-Now" decision-making is such a powerful force • What happens at confidence peaks that leads to our downfall • The five ways we respond to extreme vulnerability • When consumers' feelings of certainty and control - not price - drive demand The Confidence Map is a book about why we do what we do, where we can and cannot trust our natural instincts, and how we can make sense of a world that too often feels senseless. Whether you’re investing in technology stocks, designing menu items for a fast-food franchise, or running an emergency room, Atwater offers an all-weather guide to avoid psychological traps, spot opportunities, and navigate the road ahead with clarity and purpose.




The Confidence Map


Book Description

A groundbreaking framework for making better decisions by understanding – and mastering – confidence. What does our desire for certainty and control have to do with our decision-making? According to behavioral economics pioneer Peter Atwater, the answer is simple: everything. In The Confidence Map, Atwater explores the hidden role of confidence in the choices we make, and why events described as being unprecedented are often entirely predictable—if we know what to look for. Using compelling stories from the past and present, Atwater shows readers how to apply the same tools he teaches the world’s leading institutional investors, corporations, and policymakers to help them make sense of complex situations and optimize strategy. You will learn: • How psychological distance consistently affects the choices we make • Why "Me-Here-Now" decision-making is such a powerful force • What happens at confidence peaks that leads to our downfall • The five ways we respond to extreme vulnerability • When consumers' feelings of certainty and control - not price - drive demand The Confidence Map is a book about why we do what we do, where we can and cannot trust our natural instincts, and how we can make sense of a world that too often feels senseless. Whether you’re investing in technology stocks, designing menu items for a fast-food franchise, or running an emergency room, Atwater offers an all-weather guide to avoid psychological traps, spot opportunities, and navigate the road ahead with clarity and purpose.




Image Technology


Book Description

§vImage processing and machine vision are fields of renewed interest in the commercial market. People in industry, managers, and technical engineers are looking for new technologies to move into the market. Many of the most promising developments are taking place in the field of image processing and its applications. The book offers a broad coverage of advances in a range of topics in image processing and machine vision.




Creative Confidence


Book Description

IDEO founder and Stanford d.school creator David Kelley and his brother Tom Kelley, IDEO partner and the author of the bestselling The Art of Innovation, have written a powerful and compelling book on unleashing the creativity that lies within each and every one of us. Too often, companies and individuals assume that creativity and innovation are the domain of the "creative types." But two of the leading experts in innovation, design, and creativity on the planet show us that each and every one of us is creative. In an incredibly entertaining and inspiring narrative that draws on countless stories from their work at IDEO, the Stanford d.school, and with many of the world's top companies, David and Tom Kelley identify the principles and strategies that will allow us to tap into our creative potential in our work lives, and in our personal lives, and allow us to innovate in terms of how we approach and solve problems. It is a book that will help each of us be more productive and successful in our lives and in our careers.




Deep Learning and Medical Applications


Book Description

Over the past 40 years, diagnostic medical imaging has undergone remarkable advancements in CT, MRI, and ultrasound technology. Today, the field is experiencing a major paradigm shift, thanks to significant and rapid progress in deep learning techniques. As a result, numerous innovative AI-based programs have been developed to improve image quality and enhance clinical workflows, leading to more efficient and accurate diagnoses. AI advancements of medical imaging not only address existing unsolved problems but also present new and complex challenges. Solutions to these challenges can improve image quality and reveal new information currently obscured by noise, artifacts, or other signals. Holistic insight is the key to solving these challenges. Such insight may lead to a creative solution only when it is based on a thorough understanding of existing methods and unmet demands. This book focuses on advanced topics in medical imaging modalities, including CT and ultrasound, with the aim of providing practical applications in the healthcare industry. It strikes a balance between mathematical theory, numerical practice, and clinical applications, offering comprehensive coverage from basic to advanced levels of mathematical theories, deep learning techniques, and algorithm implementation details. Moreover, it provides in-depth insights into the latest advancements in dental cone-beam CT, fetal ultrasound, and bioimpedance, making it an essential resource for professionals seeking to stay up-to-date with the latest developments in the field of medical imaging.




Computational Science and Technology


Book Description

This book gathers the proceedings of the Sixth International Conference on Computational Science and Technology 2019 (ICCST2019), held in Kota Kinabalu, Malaysia, on 29–30 August 2019. The respective contributions offer practitioners and researchers a range of new computational techniques and solutions, identify emerging issues, and outline future research directions, while also showing them how to apply the latest large-scale, high-performance computational methods.




Artificial Intelligence and Robotics


Book Description

This two-volume set (CCIS 1700-1701) constitutes the refereed proceedings from the 7th International Symposium on Artificial Intelligence, ISAIR 2022, held in Shanghai, China, in October 2022. The 67 presented papers were thoroughly reviewed and selected from 285 submissions. The volumes present the state-of-the-art contributions on the cognitive intelligence, computer vision, multimedia, Internet of Things, robotics, and related applications.




Pattern Recognition and Computer Vision


Book Description

The three-volume set LNCS 12305, 12306, and 12307 constitutes the refereed proceedings of the Third Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2020, held virtually in Nanjing, China, in October 2020. The 158 full papers presented were carefully reviewed and selected from 402 submissions. The papers have been organized in the following topical sections: Part I: Computer Vision and Application, Part II: Pattern Recognition and Application, Part III: Machine Learning.




Medical Image Computing and Computer Assisted Intervention – MICCAI 2022


Book Description

The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging; Part III: Breast imaging; colonoscopy; computer aided diagnosis; Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I; Part V: Image segmentation II; integration of imaging with non-imaging biomarkers; Part VI: Image registration; image reconstruction; Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning – domain adaptation and generalization; Part VIII: Machine learning – weakly-supervised learning; machine learning – model interpretation; machine learning – uncertainty; machine learning theory and methodologies.




Reproducible Research in Pattern Recognition


Book Description

This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Reproducible Research in Pattern Recognition, RRPR 2016, held in Cancún, Mexico, in December 2016. The 12 revised full papers, among them 2 invited talks, presented were carefully reviewed and selected from 16 submissions. They focus on pattern recognition algorithms; reproducible research frameworks; reproducible research results, previous works on reproducible research.