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  • English  (39)
  • Wissenschaftspark Albert Einstein  (39)
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  • 1
    Book
    Book
    An English-German dictionary of idioms : idiomatic and figurative English expressions with German translations (1967)
    München : Hueber
    Details
    UID:
    b3kat_BV003579325
    Format: 313 S.
    Edition: 2., erw. Aufl.
    Language: English
    Subjects: English Studies
    RVK:
    HE 316
    RVK:
    HF 333
    Keywords: Englisch ; Phraseologie ; Wörterbuch ; Deutsch ; Wörterbuch ; Englisch ; Phraseologie ; Wörterbuch
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  • 2
    Book
    Book
    Diffusion equations (1992)
    Providence, RI : American Mathematical Society
    Details
    UID:
    gbv_1612486193
    Format: X, 225 S.
    ISBN: 0821845705
    Series Statement: Translations of mathematical monographs 114
    Uniform Title: Kakusan hōteishiki 〈engl.〉
    Note: Aus d. Japan. übers
    Additional Edition: Online-Ausg. Itåo, Seizåo Diffusion equations Providence, R.I. : American Mathematical Society, 1992 ISBN 9781470445256
    Language: English
    Subjects: Mathematics
    RVK:
    SK 540
    RVK:
    SK 560
    Keywords: Diffusionsgleichung
    URL: Inhaltstext
    URL: Inhaltsverzeichnis
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  • 3
    Book
    Book
    Continental endogenous regimes (1981)
    Moscow : Mir Publ.
    Details
    UID:
    b3kat_BV019308951
    Format: 295 S. , graph. Darst., zahlr. Kt.
    Edition: 1. publ.
    Uniform Title: Endogennye rezimy materikov
    Note: Ėndogennye rezhimy materikov 〈engl.〉 - Translation of: Ėndogennye rezhimy materikov. - Bibliography: p272-290. - Includes index
    Language: English
    Keywords: Kontinentale Erdkruste
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  • 4
    Book
    Book
    An English-German dictionary of idioms : idiomatic and figurative English expressions with German translations (1969)
    München : Hueber
    Details
    UID:
    b3kat_BV004097871
    Format: 313 S.
    Edition: 3. Aufl.
    Series Statement: Hueber Sprachen der Welt.
    Language: English
    Subjects: General works
    RVK:
    AH 16037
    Keywords: Englisch ; Phraseologie ; Wörterbuch ; Deutsch ; Mehrsprachiges Wörterbuch ; Wörterbuch
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  • 5
    Book
    Book
    Robust and fast global image orientation (2021)
    Hannover : Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover
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    Details
    UID:
    kobvindex_GFZ1782031448
    Format: 135 Seiten , Illustrationen, Diagramme
    ISBN: 978-3-7696-5283-3 , 9783769652833
    ISSN: 0174-1454
    Series Statement: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Universität Hannover Nr. 373
    Note: Auch veröffentlicht in: Deutsche Geodätische Kommission bei der Bayerischen Akademie der Wissenschaften, Reihe C, Nr. 871, München 2021, ISBN 978-3-7696-5283-3 , Dissertation, Gottfried Wilhelm Leibniz Universität Hannover, 2021 , Contents 1 Introduction 1.1 Motivation and objective 1.2 Problem statement and contributions 1.3 Reader's guide 2 State of the art 2.1 Image features and relative orientation 2.2 Efficient image matching 2.2.1 Reduction of the number of features per image 2.2.2 Reduction of the number of image pairs 2.2.3 Other integrated methods 2.3 Incremental and hierarchical image orientation 2.3.1 Incremental image orientation 2.3.2 Hierarchical image orientation 2.4 Global image orientation 2.4.1 Outlier detection in relative orientation 2.4.2 Global rotation estimation 2.4.3 Global translation estimation 2.5 Alternative solutions for image orientation 2.6 Discussion 3 Preprocessing 3.1 Time efficient image matching based on a random k-d forest 3.1.1 Construction of the random k-d forest 3.1.2 Determination of overlapping image pairs 3.1.3 Clustering images and discarding single images 3.1.4 Determination of relative orientation parameters 3.2 Robustifying the ROs for robust global image orientation 3.2.1 Detecting and eliminating RO outliers by checking compatibility of triplets 3.2.2 Detecting and eliminating RO outliers due to repetitive structure 3.2.3 Detecting and eliminating RO outliers of very short baselines and baselines parallel to the viewing direction 3.2.4 Identifying correct ROs of baselines parallel to the viewing direction 3.3 Discussion 4 Global image orientation 4.1 General Overview 4.2 Global rotation estimation 4.2.1 Rotation preliminaries and problem statement 4.2.2 Robust solution of global rotations 4.2.3 Discussion 4.3 Global translation estimation 4.3.1 Problem statements and relevant function model 4.3.2 Determination of globally consistent scale factors 4.3.3 Solving global translations based on relative translations 4.4 Robust bundle adjustment 4.5 Discussion 5 Experimental setup 5.1 Objectives of the designed experiments 5.2 Test datasets 5.3 Free parameter settings 5.4 Evaluation strategy and criteria 5.4.1 Preprocessing steps 5.4.2 Global image orientation 6 Evaluation 6.1 Evaluation of preprocessing steps 6.1.1 Performance of overlapping pair determination 6.1.2 Performance of the robustification of ROs 6.2 Evaluation of global image orientation 6.2.1 Ordered datasets 6.2.2 Unordered datasets 6.2.3 Problematic datasets 6.3 Synthesis 6.3.1 Preprocessing steps 6.3.2 Global image orientation 7 Conclusion and Outlook Appendix A. Proposition for very short baselines B. Calculation of the discrepancy between relative orientation and ground truth exterior orientation parameters B.l Discrepancy with respect to relative rotations B.2 Discrepancy with respect to relative translations C. Calculation of the mean translation errors References
    In: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Universität Hannover
    Language: English
    Keywords: Hochschulschrift
    Author information: Wang, Xin 1989-
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  • 6
    Book
    Book
    Deep learning for feature based image matching (2021)
    Hannover : Fachrichtung Geodäsie und Geoinformatik, Univ. Hannover
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    Details
    UID:
    kobvindex_GFZ176793534X
    Format: 155 Seiten , Illustrationen, Diagramme
    ISBN: 978-3-7696-5279-6 , 9783769652796
    ISSN: 0174-1454
    Series Statement: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover Nr. 369
    Note: Auch veröffentlicht in: Deutsche Geodätische Kommission bei der Bayerischen Akademie der Wissenschaften, Reihe C, Nr. 867, München 2021, ISBN 978-3-7696-5279-6 , Dissertation, Gottfried Wilhelm Leibniz Universität Hannover, 2021 , Contents 1. Introduction 1.1. Motivation 1.2. Main Contributions 1.3. Thesis Outline 2. Basics 2.1. Feature based Image Matching 2.1.1. Overview: What is Feature based Image Matching? 2.1.2. Desired Properties for Detected Features and Descriptors 2.1.3. Scale-Invariant Feature Detection 2.1.4. Feature Affine Shape Estimation 2.1.5. Feature Orientation Assignment 2.1.6. Feature Description 2.1.7. Descriptor Matching 2.2. Convolutional Neural Network (CNN) 2.2.1. Architecture of CNN 2.2.2. Training of CNN 2.3. Siamese Convolutional Neural Network 3. Related Work 3.1. Local Feature Detection 3.1.1. Translation and Rotation Invariant Features 3.1.2. Scale Invariant Features 3.1.3. Detectors based on a Comparison of Grey Values or Saliency 3.1.4. Detectors based on Machine Learning 3.2. Feature Orientation and Affine Shape Estimation 3.2.1. Orientation Assignment 3.2.2. Affine Shape Estimation 3.3. Local Feature Description 3.3.1. Hand Crafted Descriptors 3.3.2. Machine Learning based Descriptors 3.4. An Application: Orientation of Oblique Aerial Images 3.5. Discussion 3.5.1. Orientation Assignment and Affine Shape Estimation 3.5.2. Descriptor Learning 3.5.3. An Aerial Photogrammetric Benchmark 3.5.4. Ability to Transfer Learned Modules 4. Deep Learning Feature Representation 4.1. Overview of the Methodology 4.2. Descriptor Learning using Active Weak Match Finder - WeMNet 4.2.1. Descriptor Learning Architecture 4.2.2. Generation of Training Pairs 4.2.3. Loss Function 4.2.4. Weak Match Branch 4.3. Self Supervised Feature Affine Shape Learning - MoNet 4.3.1. Affine Transformation Decomposition 4.3.2. Self Supervised Affine Shape Estimation Module 4.4. Self Supervised Orientation Assignment Module - MGNet 4.5. Full Affine Estimation Network - Full-AfFNet 4.5.1. Full Affine Network 4.5.2. Training Loss 4.5.3. Data Augmentation 4.6. Inference based on the Trained Networks 4.7. Discussion 4.7.1. Descriptor Learning 4.7.2. Affine Shape Estimation 4.7.3. Orientation Assignment Learning 4.7.4. The Inference Pipeline 5. Experiments and Results 5.1. Datasets 5.1.1. Datasets for Training 5.1.2. Datasets for Testing 5.2. Evaluation and Analysis Criteria 5.2.1. Task A: Patch based Image Matching 5.2.2. Task B: Descriptor Distance Analysis 5.2.3. Task C: Feature based Image Matching 5.2.4. Task D: Image Orientation 5.2.5. Summary of Tasks and Involved Datasets 5.3. Descriptor Learning and Patch Based Image Matching 5.3.1. Parameter Study for WeMNet 5.3.2. Comparison to Related Work 5.4. Descriptor Distance Analysis 5.4.1. Translation 5.4.2. Rotation 5.4.3. Affine Shape Transformation 5.5. Image Matching Analysis 5.5.1. Parameter Study for Affine Shape Learning 5.5.2. Image Matching for Rotation Dataset 5.5.3. Image Matching for Hpatches Affine Dataset 5.6. Image Orientation 5.6.1. Determination of Image Orientation 5.6.2. Experiment Setup Details 5.6.3. Orientation Result of Different Blocks 5.6.4. Matching Quality Analysis 6. Discussion 6.1. Descriptor Learning and Patch Based Image Matching 6.1.1. Parameter Study 6.1.2. Comparison to Related Works 6.2. Descriptor Distance Analysis 6.2.1. Translation 6.2.2. Rotation 6.2.3. Affine Shape Transformation 6.3. Feature based Image Matching 6.3.1. Parameter Study 6.3.2. Rotation Set 6.3.3. Affine Set 6.4. Image Orientation 7. Conclusion and Outlook Bibliography A. Affine Shape Adaptation Theory A.l. transformation of affine Gaussian scale-space A.2. Local affine distortion measurement A.3. More affine transformation
    In: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover
    Language: English
    Keywords: Hochschulschrift
    Author information: Chen, Lin 1987-
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  • 7
    Book
    Book
    Weather forecasting as a problem in physics (1972)
    Cambridge [u.a.] : The MIT Press
    Details
    UID:
    kobvindex_GFZ86752
    Format: XI, 199 Seiten , Illustrationen , 30 cm
    ISBN: 0262130831
    Uniform Title: Prognoz pogody kak zadača fiziki 〈engl.〉
    Note: MAB0014.001: AWI A3-02-0015 , Contents Foreword to the English translation Preface 1 INTRODUCTION 1. A short history of the problem 2. Scales of weather processes 3. The spectrum of atmospheric processes 2 THE HYDRODYNAMIC THEORY OF SHORT-RANGE WEATHER PREDICTION 4. Adiabatic invariants 5. Classification of atmospheric motions 6. Adaptation of meteorological fields 7. The Quasi-geostrophic approximation 8. The Quasi-solenoidal approximation 9. Primitive equations 10. Vertical structure of synoptic processes 11. Difference schemes 12. Weather prediction 3 THE PHYSICAL NATURE OF LONG-TERM WEATHER CHANGES 13. The global nature of long-term weather processes 14. Global observation 15. Nonadiabatic effects 16. Heat sources in the atmosphere 17. The regulating role of clouds 18. Numerical experiments 19. The interaction of the oceans and the atmosphere 20. Predictability 21. Extraterrestrial influences 4 ADDITIONS 22. Modeling the planetary circulation 23. The atmospheres of other planets 24. Planning and forecasts References Index , Aus dem Russischen übersetzt
    Language: English
    Keywords: Lehrbuch
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  • 8
    Book
    Book
    Governing the climate : new approaches to rationality, power and politics (2014)
    New York, NY : Cambridge Univ. Press
    Details
    UID:
    kobvindex_GFZ756955289
    Format: XXIV, 270 S. , Ill., graph. Darst.
    ISBN: 9781107046269 (hardback) , 9781107624603 (paperback)
    Content: "Climate change is an issue that transcends and exceeds formal political and geographical boundaries. Social scientists are increasingly studying how effective policies on climate change can be enacted at the global level, 'beyond the state'. Such perspectives take into account governance mechanisms with public, hybrid and private sources of authority. Studies are raising questions about the ways in which state authority is constituted and practiced in the climate arena, and the implications for how we understand the potential and limits for addressing the climate problem. This book focuses on the rationalities and practices by which a carbon-constrained world is represented, categorized and ordered. The book will enable investigations into a range of sites (e.g., the body, home, shopping centre, firm, city, forests, streets, international bureaucracies, financial flows, migrants and refugees) where subjectivities around climate change and carbon are formed and contested. Despite a growing interest in this area of work, the field remains fragmented and diffuse. This edited collection brings together the leading scholarship in the field to cast new light on the question of how, why, and with what implications climate governance is taking place. It is the first volume to collect this body of scholarship, and provides a key reference point in the growing debate about climate change across the social sciences"--
    Note: Includes bibliographical references and index , Machine generated contents note: Introduction J. Stripple and H. Bulkeley; Part I. Governmentality, Critical Theory and Climate Change: 1. Bringing governmentality to the study of global governance E. Lavbrand and J. Stripple; 2. Experimenting on climate governmentality with actor-network theory A. Blok; 3. Third side of the coin: hegemony and governmentality in global climate politics B. Stephan, D. Rothe and C. Methman; 4. The limits of climate governmentality C. Death; Part II. Cases of Climate Government: Theorising Practice: 5. Neuro-liberal climatic governmentalities M. Whitehead, R. Jones and J. Pykett; 6. Making carbon calculations S. Eden; 7. Smart meters and the governance of energy use in the household T. Hargreaves; 8. Translation loops and shifting rationalities of transnational bioenergy governance J. Kortelainen and M. Albrecht; 9. Governing mobile species in a climate-changed world J. Fall; 10. Measuring forest carbon H. Lovell; 11. Climate security as governmentality: from precaution to preparedness A. Oels; Part III. Future Directions: 12. The rise and fall of the global climate polity O. Corry; 13. Climate change multiple S. Randalls; 14. Reflections and way forward H. Bulkeley and J. Stripple..
    Language: English
    Subjects: Economics
    RVK:
    QT 000
    URL: http://www.gbv.de/dms/bowker/toc/9781107046269.pdf
    Author information: Bulkeley, Harriet
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  • 9
    Online Resource
    Online Resource
    Teaching and Learning with Jupyter (2019)
    Washington, D.C. : George Washington University
    Details
    UID:
    kobvindex_GFZ10000000000000000000_20190207152000
    Format: Online-Ressource
    Content: This handbook is for any educator teaching a topic that includes data analysis or computation in order to support learning. It is not just for educators teaching courses in engineering or science, but also data journalism, business and quantitative economics, data-based decision sciences and policy, quantitative health sciences, and digital humanities. It aims to provide an entry point, and a broad overview of Jupyter in education. Whether you are already using Jupyter to teach, you have found learning materials built on Jupyter that piqued your curiosity, or have never heard of Jupyter, the material in this open book can empower you to use this technology in your teaching. Project Jupyter is a broad collaboration that develops open-source tools for interactive and exploratory computing. The tools include: over 100 computer languages (with a focus on Python), the Jupyter Notebook, JupyterHub, and an ecosystem of extensions contributed by a large community. The Jupyter Notebook has exploded in popularity since late 2014, fueled by its adoption as the favorite environment for doing data science. It has also grown as a platform to use in the classroom, to develop teaching materials, to share lessons and tutorials, and to create computational stories. Notebooks are documents containing text narratives with images and math, combined with executable code (many languages are supported) and the output of that code. This marriage of content and code makes for a powerful new form of data-based communication. Educators everywhere are adopting Jupyter for teaching. Educators newly adopting Jupyter can be overwhelmed by having to navigate the ecosystem of tools and content. They could study many examples, or consume a myriad of blog posts and videos of talks to distill the patterns of good practices and technical solutions to serve their students best. Several early adopters, having much experience to share, decided to begin collecting this know-how, and share open documentation about using Jupyter for teaching and learning. The result is this open book: a living document that captures the experiences of community members using Jupyter in education. The Jupyter Community Workshop in Washington, DC (November 2018) began that process, with a book sprint aimed at producing the first version of this handbook. The collaboratively written book consolidates explanations and examples covering key topics, including: what is Jupyter, how to try Jupyter, sharing notebooks with students, locally installing Jupyter, cloud offerings, finding example notebooks, writing lessons in Jupyter, making collections for a course, exporting to other formats with nbconvert, writing textbooks with Jupyter, using Binder and JupyterHub, making assignments and auto-grading, making online courses, teaching with Jupyter in the classroom, active learning and flipped learning pedagogies with Jupyter, and guiding learners to create their own content in Jupyter. This open handbook will grow to encompass all you need to know about Jupyter in teaching and learning.
    Note: 1 Introduction Acknowledgments 2 Why we use Jupyter notebooks 2.1 Why do we use Jupyter? 2.2 But first, what is Jupyter Notebook? 2.3 Course benefits & anecdotes 2.4 Student benefits 2.5 Instructor benefits 2.6 Conclusions 3 Notebooks in teaching and learning 3.1 Oh the places your notebooks will go! 3.2 Before You Begin… 4 A catalogue of pedagogical patterns 4.1 Introduction 4.2 Shift-Enter for the win 4.3 Fill in the blanks 4.4 Target Practice 4.5 Twiddle, tweak, and frob 4.6 Notebook as an app 4.7 Win-day-one 4.8 Top-down sequence 4.9 Two bites at every apple 4.10 Coding as translation 4.11 Symbolic math over pencil + paper 4.12 Replace analysis with numerical methods 4.13 The API is the lesson 4.14 Proof by example, disproof by counterexample 4.15 The world is your dataset 4.16 Now you try (with different data or process) 4.17 Connect to external audiences 4.18 There can be only one 4.19 Hello, world! 4.20 Test driven development 4.21 Code reviews 4.22 Bug hunt 4.23 Adversarial programming 5 Jupyter Notebook ecosystem 5.1 Language support: kernels 5.2 Using Jupyter notebooks 5.3 Authoring Jupyter notebooks 5.4 Tips and tricks 5.5 Gotchas 6 Getting your class going with Jupyter 6.1 Local installation on students’ or lab computers 6.2 Jupyter on remote servers 6.3 Distribution and collection of materials 6.4 Assessing student learning with Jupyter notebooks 6.5 How do you create Jupyter notebooks for reuse and sharing? 6.6 Jupyter: a 21st Century genre of Open Educational Resources and practices 7 Usage case studies 7.1 Jupyter notebooks in support of scaling for large enrollments 7.2 The “CFD Python” story: guiding learners at their own pace 7.3 Analyzing music with music21 7.4 Interactivity in computer science (high school and middle school) 7.5 Interactive geophysics with Jupyter 7.6 Investigating hurricanes 8 About the authors 8.1 Project lead 8.2 Authors at the sprint 9 Glossary References
    Language: English
    URL: https://jupyter4edu.github.io/jupyter-edu-book/
    URL: https://github.com/jupyter4edu/jupyter-edu-book
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    Wissenschaftspark Albert Einstein
  • 10
    Book
    Book
    The Radon transform and some of its applications (1983)
    New York : Wiley
    Details
    UID:
    kobvindex_GFZ014075962
    Format: Seite 1-183, 218-239, 247-281
    ISBN: 047189804X
    Series Statement: A Wiley-Interscience publication
    Note: Nur auszugsweise vorhanden , Contents Chapter 1. Major Fields of Application [1.1] Introduction [1.2] Medicine; X-ray Computed Tomography [1.3] Medicine; Emission Computed Tomography [1.4] Medicine; Ultrasound CT [1.5] Astronomy [1.6] Electron Microscopy [1.7] Nuclear Magnetic Resonance [1.8] Optics [1.9] Stress Analysis, Geophysics, and Other Areas [1.10] References Chapter 2. Definition of the Radon Transform [2.1] Introduction [2.2] Two Dimensions [2.3] Three Dimensions [2.4] Extension to Higher Dimensions [2.5] Some Important Examples Chapter 3. Basic Properties [3.1] Introduction [3.2] Homogeneity [3.3] Linearity [3.4] Transform of a Linear Transformation [3.5] Shifting Property [3.6] Transform of Derivatives [3.7] Transforms Involving Hermite Polynomials [3.8] Transforms Involving Laguerre Polynomials [3.9] Derivatives of the Transform [3.10] Transform of Convolution Chapter 4. Relation to Other Transforms [4.1] Introduction [4.2] Relation to the Fourier Transform [4.3] Relation to the Gegenbauer Transform [4.4] Relation to the Hough Transform Chapter 5. Inversion [5.1] Introduction [5.2] Odd Dimension [5.3] Even Dimension [5.4] Unification and the Adjoint [5.5] Fourier Methods Chapter 6. Recent Development of Inversion Methods [6.1] Introduction [6.2] Projection-Slice Theorem [6.3] Backprojection [6.4] Backprojection of Filtered Projections [6.5] Filter of Backprojections [6.6] Iterative Methods [6.7] Three-dimensional Methods [6.8] Categorized References Chapter 7. Series Methods [7.1] Introduction [7.2] Gegenbauer Transform Pair [7.3] Circular Harmonic Expansion ( n = 2) [7.4] Spherical Harmonic Expansion (n = 3) [7.5] A Tchebycheff Transform Pair of the Second Kind [7.6] Orthogonal Function Expansions on the Unit Disk [7.7] Orthogonal Function Expansions Over the Entire Plane [7.8] Other Approaches Chapter 8. More Properties, Applications, and Generalizations [8.1] Introduction [8.2] Characterization of the Transform [8.3] A Discrete Version [8.4] Picture Restoration [8.5] Transformations in Geophysics [8.6] The Integral Equation of Potential Scattering [8.7] Partial Differential Equations [8.8] Generalizations and Other Uses Appendix A. Translation of Radon's 1917 Paper Appendix B. Generalized Functions Appendix C. Special Functions References Index
    Language: English
    Keywords: Lehrbuch
    URL: Inhaltsverzeichnis
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