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Author: Ulrik Ekman
Publisher: Routledge
ISBN: 0429787979
Category : Religion
Languages : en
Pages : 195
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Book Description
Citizens of networked societies are almost incessantly accompanied by ecologies of images. These ecologies of still and moving images present a paradox of uncertainties emerging along with certainties. Images appear more certain as the technical capacities that render them visible increase. At the same time, images are touched by more uncertainty as their numbers, manipulabilities, and contingencies multiply. With the emergence of big data, the image is becoming a dominant vehicle for the construction and presentation of the truth of data. Images present themselves as so many promises of the certainty, predictability, and intelligibility offered by data. The focus of this book is twofold. It analyses the kinds of images appearing today, showing how they are marked by a return to modern photographic emphases on high resolution, clarity, and realistic representation. Secondly, it discusses the ways in which the uncertainty of images is increasingly underscored within such reiterated emphases on allegedly certain visual truths. This often involves renewed encounters with noise, grain, glitch, blur, vagueness, and indistinctness. This book provides the reader with an intriguing transdisciplinary investigation of the uncertainly certain relation between the cultural imagination and the techno-aesthetic regime of big data and ubiquitous computing. This book was originally published as a special issue of Digital Creativity.
Author: Ulrik Ekman
Publisher: Routledge
ISBN: 0429787979
Category : Religion
Languages : en
Pages : 195
Get Book Here
Book Description
Citizens of networked societies are almost incessantly accompanied by ecologies of images. These ecologies of still and moving images present a paradox of uncertainties emerging along with certainties. Images appear more certain as the technical capacities that render them visible increase. At the same time, images are touched by more uncertainty as their numbers, manipulabilities, and contingencies multiply. With the emergence of big data, the image is becoming a dominant vehicle for the construction and presentation of the truth of data. Images present themselves as so many promises of the certainty, predictability, and intelligibility offered by data. The focus of this book is twofold. It analyses the kinds of images appearing today, showing how they are marked by a return to modern photographic emphases on high resolution, clarity, and realistic representation. Secondly, it discusses the ways in which the uncertainty of images is increasingly underscored within such reiterated emphases on allegedly certain visual truths. This often involves renewed encounters with noise, grain, glitch, blur, vagueness, and indistinctness. This book provides the reader with an intriguing transdisciplinary investigation of the uncertainly certain relation between the cultural imagination and the techno-aesthetic regime of big data and ubiquitous computing. This book was originally published as a special issue of Digital Creativity.
Author: Elizabeth Edwards
Publisher: Routledge
ISBN: 131700552X
Category : Art
Languages : en
Pages : 289
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Book Description
Almost all museums hold photographs in their collections, and museum professionals and their audiences engage with photographs in a myriad of ways. Yet despite some three decades of critical museology and photographic theory, and an extensive debate on the politics of representation, outside art museums, almost no critical attention has been given specifically to the roles, purposes and lives of these photographs within museums. This book brings into focus the ubiquitous yet entirely unconsidered work that photographs are put to in museums. The authors' argument is that there is an economy of photographs in museums which is integral to the processes of the museum, and integral to the understanding of museums. The international contributors, drawn from curators and academics, reflect a range of visual and museological expertise. After an introduction setting out the range of questions and problems, the first part addresses broad curatorial strategies and ways of thinking about photographs in museums. Shifting the emphasis from curatorial practices and anxieties to the space of the gallery, this is followed by a series of case studies of exhibitionary practices and the museum strategies that support them. The third section focuses on the role of photographs in the museum articulation of ’difficult histories’. A final section addresses photograph collections in a digital environment. New technologies and new media have transformed the management, address and purposing in photographs in museums, from cataloguing practices to streaming on social media. These growing practices challenge both traditional hierarchies of knowledge in museums and the location of authority about photographs. The volume emerges from PhotoCLEC, a HERA funded project on museums and the photographic legacy of the colonial past in a postcolonial and multicultural Europe.
Author:
Publisher: Keith Carter Photography
ISBN:
Category : Photography
Languages : en
Pages : 194
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Book Description
""In the beginning, there was no real plan, just a road trip that became a journey." In the years 1986 and 1987, Keith Carter and his wife, Patricia, visited one hundred small Texas towns with intriguing names like Diddy Waw Diddy, Elysian Fields, and Poetry. He says, "I tried to make my working method simple and practical: one town, one photograph. I would take several rolls of film but select only one image to represent that dot on my now-tattered map. The titles of the photographs are the actual names of the small towns. . . ." Carter created a body of work that evoked the essence of small-town life for many people, including renowned playwright and fellow Texan, Horton Foote."--Amazon.com.
Author: Frédéric Pajak
Publisher: New York Review of Books
ISBN: 168137286X
Category : Biography & Autobiography
Languages : en
Pages : 193
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Book Description
An illustrated artist's memoir of the motivations, feelings, ideas, figures (including Samuel Beckett and Walter Benjamin), travels, and love affairs that have influenced his life. The writer and artist Frédéric Pajak was ten when he began to dream of “a book mixing words and pictures: snippets of adventure, random memories, maxims, ghosts, forgotten heroes, trees, the raging sea,” but it was not until he was in his forties that this dream took form as Uncertain Manifesto. The utterly original book that he produced is a memoir born of reading and a meditation on the lives and ideas, the motivations, feelings, and fates of some of Pajak’s heroes: Samuel Beckett and the artist Bram van Velde, and, especially, Walter Benjamin, whose travels to Moscow, Naples, and Ibiza, whose experiences with hashish, whose faltering marriage and love affairs and critique of modern experience Pajak re-creates and reflects on in word and image. Pajak’s moody black-and white drawings accompany the text throughout, though their bearing on it is often indirect and all the more absorbing for that. Between word and image, the reader is drawn into a mysterious space that is all Pajak’s as he seeks to evoke vanished histories and to resist a modern world more and more given over to a present without a past. With the support of the Swiss Arts Council Pro Helvetia
Author: Dinggang Shen
Publisher: Springer Nature
ISBN: 3030322394
Category : Computers
Languages : en
Pages : 851
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Book Description
The six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019. The 539 revised full papers presented were carefully reviewed and selected from 1730 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: optical imaging; endoscopy; microscopy. Part II: image segmentation; image registration; cardiovascular imaging; growth, development, atrophy and progression. Part III: neuroimage reconstruction and synthesis; neuroimage segmentation; diffusion weighted magnetic resonance imaging; functional neuroimaging (fMRI); miscellaneous neuroimaging. Part IV: shape; prediction; detection and localization; machine learning; computer-aided diagnosis; image reconstruction and synthesis. Part V: computer assisted interventions; MIC meets CAI. Part VI: computed tomography; X-ray imaging.
Author: Hayit Greenspan
Publisher: Springer Nature
ISBN: 3031438957
Category : Computers
Languages : en
Pages : 828
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Book Description
The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learning – explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications – abdomen; clinical applications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applications – ophthalmology; clinical applications – vascular; Part VIII: Clinical applications – neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.
Author: Stephan Heuel
Publisher: Springer Science & Business Media
ISBN: 3540220291
Category : Mathematics
Languages : en
Pages : 214
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Book Description
Algebraic projective geometry, with its multilinear relations and its embedding into Grassmann-Cayley algebra, has become the basic representation of multiple view geometry, resulting in deep insights into the algebraic structure of geometric relations, as well as in efficient and versatile algorithms for computer vision and image analysis. This book provides a coherent integration of algebraic projective geometry and spatial reasoning under uncertainty with applications in computer vision. Beyond systematically introducing the theoretical foundations from geometry and statistics and clear rules for performing geometric reasoning under uncertainty, the author provides a collection of detailed algorithms. The book addresses researchers and advanced students interested in algebraic projective geometry for image analysis, in statistical representation of objects and transformations, or in generic tools for testing and estimating within the context of geometric multiple-view analysis.
Author: Marleen de Bruijne
Publisher: Springer Nature
ISBN: 3030871991
Category : Computers
Languages : en
Pages : 676
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Book Description
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.* The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging – others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound *The conference was held virtually.
Author: Tofigh Allahviranloo
Publisher: Springer Nature
ISBN: 3030313247
Category : Technology & Engineering
Languages : en
Pages : 264
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Book Description
This book identifies the important uncertainties to use in real-world problem modeling. Having information about several types of ambiguities, vagueness, and uncertainties is vital in modeling problems that involve linguistic variables, parameters, and word computing. Today, since most of our real-world problems are related to decision-making at the right time, we need to apply intelligent decision science. Clearly, in order to have an appropriate and flexible mathematical model, every intelligent system requires real data on our environment. Presenting problems that can be represented using mathematical models to create a system of linear equations, this book discusses the latest insights into uncertain information.
Author: Carole H. Sudre
Publisher: Springer Nature
ISBN: 3030877353
Category : Computers
Languages : en
Pages : 306
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Book Description
This book constitutes the refereed proceedings of the Third International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2021, and the 6th International Workshop on Preterm, Perinatal and Paediatric Image Analysis, PIPPI 2021, held in conjunction with MICCAI 2021. The conference was planned to take place in Strasbourg, France, but was held virtually due to the COVID-19 pandemic.For UNSURE 2021, 13 papers from 18 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world. PIPPI 2021 accepted 14 papers from the 18 submissions received. The workshop aims to bring together methods and experience from researchers and authors working on these younger cohorts and provides a forum for the open discussion of advanced image analysis approaches focused on the analysis of growth and development in the fetal, infant and paediatric period.
