Topological Methods in Data Analysis and Visualization VI: Theory, Applications, and Software, Hotz Ingrid, Bin Masood Talha, Sadlo Filip
Автор: Martin Kleppmann Название: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems ISBN: 1449373321 ISBN-13(EAN): 9781449373320 Издательство: Wiley Рейтинг: Цена: 50680.00 T Наличие на складе: Заказано в издательстве. Описание: In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data.
Автор: Carr Hamish, Fujishiro Issei, Sadlo Filip Название: Topological Methods in Data Analysis and Visualization V: Theory, Algorithms, and Applications ISBN: 3030430359 ISBN-13(EAN): 9783030430351 Издательство: Springer Цена: 167700.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This collection of peer-reviewed workshop papers provides comprehensive coverage of cutting-edge research into topological approaches to data analysis and visualization. They provide an essential snapshot of state-of-the-art research, helping researchers to keep abreast of the latest developments and providing a basis for future work.
Автор: Pascucci Valerio, Tricoche Xavier, Hagen Hans Название: Topological Methods in Data Analysis and Visualization: Theory, Algorithms, and Applications ISBN: 3662506041 ISBN-13(EAN): 9783662506042 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book contains the best 20 peer-reviewed papers resulting from the discussions and presentations at the third workshop on "Topological Methods in Data Analysis and Visualization", held 2009 in Utah, US. It offers an important contribution to the field.
Автор: Pascucci Название: Topological Methods in Data Analysis and Visualization ISBN: 3642150136 ISBN-13(EAN): 9783642150135 Издательство: Springer Рейтинг: Цена: 135090.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Topology-based methods are of increasing importance in the analysis and visualization of datasets from a wide variety of scientific domains such as biology, physics, engineering, and medicine. Current challenges of topology-based techniques include the management of time-dependent data, the representation of large and complex datasets, the characterization of noise and uncertainty, the effective integration of numerical methods with robust combinatorial algorithms, etc. . The editors have brought together the most prominent and best recognized researchers in the field of topology-based data analysis and visualization for a joint discussion and scientific exchange of the latest results in the field. This book contains the best 20 peer-reviewed papers resulting from the discussions and presentations at the third workshop on Topological Methods in Data Analysis and Visualization , held 2009 in Snowbird, Utah, US. The 2009 TopoInVis workshop follows the two successful workshops in 2005 (Slovakia) and 2007 (Germany).
Автор: Hamish Carr; Christoph Garth; Tino Weinkauf Название: Topological Methods in Data Analysis and Visualization IV ISBN: 3319831100 ISBN-13(EAN): 9783319831107 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Нет в наличии.
Автор: Peer-Timo Bremer; Ingrid Hotz; Valerio Pascucci; R Название: Topological Methods in Data Analysis and Visualization III ISBN: 3319381652 ISBN-13(EAN): 9783319381657 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This collection of peer-reviewed conference papers provides comprehensive coverage of cutting-edge research in topological approaches to data analysis and visualization.
Автор: Peer-Timo Bremer; Ingrid Hotz; Valerio Pascucci; R Название: Topological Methods in Data Analysis and Visualization III ISBN: 3319040987 ISBN-13(EAN): 9783319040981 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This collection of peer-reviewed conference papers provides comprehensive coverage of cutting-edge research in topological approaches to data analysis and visualization.
Автор: Giuseppe Patane Название: An Introduction to Laplacian Spectral Distances and Kernels: Theory, Computation, and Applications ISBN: 1681731398 ISBN-13(EAN): 9781681731391 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 47130.00 T Наличие на складе: Невозможна поставка. Описание: Provides a common background on the definition and computation of the Laplacian spectral kernels and distances for geometry processing and shape analysis. The book defines a unified representation of the isotropic and anisotropic discrete Laplacian operator on surfaces and volumes; then introduces the associated differential equations.
Автор: Tierny Julien Название: Topological Data Analysis for Scientific Visualization ISBN: 3319715062 ISBN-13(EAN): 9783319715063 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 1. Introduction.- 2. Background: 2.1 Data representation.- 2.2 Topological abstractions.- 2.3 Algorithms and applications.- 3. Abstraction: 3.1 Efficient topological simplification of scalar fields.- 3.2 Efficient Reeb graph computation for volumetric meshes.- 4. Interaction: 4.1 Topological simplification of isosurfaces.- 4.2 Interactive editing of topological abstractions.- 5. Analysis: 5.1 Exploration of turbulent combustion simulations.- 5.2 Quantitative analysis of molecular interactions.- 6. Perspectives: 6.1 Emerging constraints.- 6.2 Emerging data types.- 7. Conclusion.
Автор: Tierny Julien Название: Topological Data Analysis for Scientific Visualization ISBN: 3319890794 ISBN-13(EAN): 9783319890791 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 1. Introduction.- 2. Background: 2.1 Data representation.- 2.2 Topological abstractions.- 2.3 Algorithms and applications.- 3. Abstraction: 3.1 Efficient topological simplification of scalar fields.- 3.2 Efficient Reeb graph computation for volumetric meshes.- 4. Interaction: 4.1 Topological simplification of isosurfaces.- 4.2 Interactive editing of topological abstractions.- 5. Analysis: 5.1 Exploration of turbulent combustion simulations.- 5.2 Quantitative analysis of molecular interactions.- 6. Perspectives: 6.1 Emerging constraints.- 6.2 Emerging data types.- 7. Conclusion.
Автор: Myatt Название: Making Sense of Data II - A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications ISBN: 0470222808 ISBN-13(EAN): 9780470222805 Издательство: Wiley Рейтинг: Цена: 94990.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a general end-to-end discussion concerning the process of translating raw data to scientific and business decisions. The reader`s ability to find patterns in data will be greatly enhanced due to the book`s combination of statistical learning with powerful visualization techniques.
Автор: Reyes Mauricio, Henriques Abreu Pedro, Cardoso Jaime Название: Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data: 4th Internat ISBN: 3030874435 ISBN-13(EAN): 9783030874438 Издательство: Springer Рейтинг: Цена: 51230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: iMIMIC 2021 Workshop.- Interpretable Deep Learning for Surgical Tool Management.- Soft Attention Improves Skin Cancer Classification Performance.- Deep Gradient based on Collective Arti cial Intelligence for AD Diagnosis and Prognosis.- This explains That: Congruent Image-Report Generation for Explainable Medical Image Analysis with Cyclic Generative Adversarial Networks.- Visual Explanation by Unifying Adversarial Generation and Feature Importance Attributions.- The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data.- Voxel-level Importance Maps for Interpretable Brain Age Estimation.- TDA4MedicalData Workshop.- Lattice Paths for Persistent Diagrams.- Neighborhood complex based machine learning (NCML) models for drug design.- Predictive modelling of highly multiplexed tumour tissue images by graph neural networks.- Statistical modeling of pulmonary vasculatures with topological priors in CT volumes.- Topological Detection of Alzheimer's Disease using Betti Curves.
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