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  • 1
    Online Resource
    Online Resource
    Ithaca :Cornell University Press,
    Keywords: Brown recluse spider. ; Electronic books.
    Description / Table of Contents: No detailed description available for "The Brown Recluse Spider".
    Type of Medium: Online Resource
    Pages: 1 online resource (197 pages)
    Edition: 1st ed.
    ISBN: 9780801456169
    DDC: 595.4/4
    Language: English
    Note: The Brown Recluse Spider -- Contents -- Acknowledgments -- Introduction -- 1 | Taxonomy -- 2 | Identification -- 3 | Misidentification -- 4 | Life History and Biology -- 5 | Distribution -- 6 | Medical Aspects -- 7 | Medical Misdiagnoses -- 8 | Human Psychology and the Brown Recluse Spider -- 9 | Bites and Alleged Bites by Other Spiders -- 10 | Control Measures -- Glossary -- References and Further Reading -- Index.
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  • 2
    Online Resource
    Online Resource
    Cham :Springer International Publishing AG,
    Keywords: Pattern recognition systems-Congresses. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (428 pages)
    Edition: 1st ed.
    ISBN: 9783319667096
    Series Statement: Lecture Notes in Computer Science Series ; v.10496
    DDC: 6.4
    Language: English
    Note: Intro -- Preface -- Organization -- Awards 2016 -- Contents -- Biomedical Image Processing and Analysis -- A Quantitative Assessment of Image Normalization for Classifying Histopathological Tissue of the Kidney -- 1 Introduction -- 2 Medical Background -- 3 Experimental Study -- 3.1 Image Representations -- 3.2 Stain Normalization Methods -- 3.3 Evaluation Protocol -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- Classification and Detection -- Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection -- 1 Introduction -- 1.1 Related Work -- 2 Approach -- 2.1 Parametrisation -- 2.2 Network Architecture -- 2.3 Training Data -- 2.4 Vanishing Point Refinement -- 2.5 Horizon Line and Orthogonal Vanishing Point Estimation -- 3 Experiments -- 3.1 Horizon Estimation -- 3.2 Additional Applications -- 4 Conclusion -- References -- Learning Where to Drive by Watching Others -- 1 Introduction -- 2 Related Work -- 3 Unsupervised Learning of Drivable Surfaces -- 3.1 Self-supervision by Experiential Reflection -- 3.2 Learning Drivable Surfaces -- 4 Experimental Results -- 4.1 Datasets -- 4.2 Zero-Shot Learning -- 4.3 Transfer Learning -- 4.4 Self-supervision from the Wild: YouTube Dashcam Dataset -- 5 Conclusions -- References -- Learning Dilation Factors for Semantic Segmentation of Street Scenes -- 1 Introduction -- 2 Learning Dilation Factors for Convolutions -- 2.1 Forward Pass -- 2.2 Backward Pass -- 2.3 Network Architectures -- 2.4 Implementation Details -- 3 Experiments -- 3.1 Cityscapes -- 3.2 CamVid -- 4 Conclusion -- References -- Learning to Filter Object Detections -- 1 Introduction -- 2 Related Work -- 3 Problem Formulation -- 4 Filtering Network Architecture -- 5 Learning Objectives -- 5.1 Approximate Non-maximum Suppression Objective -- 5.2 Network Detection Objective -- 6 Experiments -- 7 Conclusion. , References -- Computational Photography -- Motion Deblurring in the Wild -- 1 Introduction -- 1.1 Related Work -- 2 Blurry Images in the Wild -- 3 The Multiscale Convolutional Neural Network -- 4 Experiments -- 5 Conclusions -- References -- Robust Multi-image HDR Reconstruction for the Modulo Camera -- 1 Introduction -- 2 Related Work -- 3 The Modulo Camera -- 4 Robust HDR Reconstruction -- 5 Robust Capture Protocol -- 6 Evaluation -- 7 Conclusion -- References -- Trainable Regularization for Multi-frame Superresolution -- 1 Introduction -- 2 Multi-frame Superresolution -- 3 SR Method Description -- 4 Data Acquisition -- 4.1 Acquisition Setup -- 4.2 Real Acquisitions -- 4.3 Simulated Acquisitions for Learning -- 5 Experiments and Results -- 6 Conclusion -- References -- Image and Video Processing -- A Comparative Study of Local Search Algorithms for Correlation Clustering -- 1 Introduction -- 1.1 Contribution -- 2 Related Work -- 3 Local Search Algorithms -- 3.1 Greedy Additive Edge Contraction (GAEC) -- 3.2 Greedy Fixation (GF) -- 3.3 Cut, Glue and Cut (CGC) -- 3.4 Kernighan-Lin Algorithm with Joins (KLj) -- 4 Empirical Comparison -- 4.1 Image Segmentation (seg-2d) -- 4.2 Volume Image Segmentation (seg-3d-300, Seg-3d-450) -- 4.3 Clustering Images of Hand-Written Digits (MNIST) -- 4.4 Clustering of Social Networks (Epinions, Slashdot) -- 5 Conclusion -- References -- Combined Precise Extraction and Topology of Points, Lines and Curves in Man-Made Environments -- 1 Introduction -- 1.1 Related Work -- 1.2 Contribution -- 2 Characteristics of Different Image Features -- 3 Detection Process -- 3.1 Extraction of Edges -- 3.2 Fitting the Geometrical Primitives -- 3.3 Calculation of Intersection Features -- 3.4 Building a Topology -- 4 Evaluation -- 4.1 Detection Accuracy of Intersection Features -- 4.2 Comparison to ELSDc -- 4.3 Detection of Contours. , 5 Conclusion -- References -- Recurrent Residual Learning for Action Recognition -- 1 Introduction -- 2 Related Work -- 3 Recurrent Residual Network -- 3.1 ResNet -- 3.2 Type of Temporal Skip Connection -- 3.3 Temporal Context -- 4 Experimental Setup -- 4.1 Baseline Experiments -- 4.2 Effect of Type and Position of the Recurrent Connection -- 4.3 Effect of Temporal Context -- 4.4 Comparison with the State of the Art -- 5 Conclusion -- References -- A Local Spatio-Temporal Approach to Plane Wave Ultrasound Particle Image Velocimetry -- 1 Introduction -- 2 Spatio-Temporal Filter Bank -- 3 Local Flow Estimation -- 4 Experimental Results -- 4.1 One-Dimensional Synthetic Ground Truth Videos -- 4.2 Laminar Pipe Flow: Ground Truth Data -- 4.3 Ultrasound Particle Image Velocimetry: In Vitro Data -- 5 Conclusion -- References -- Machine Learning and Pattern Recognition -- Object Boundary Detection and Classification with Image-Level Labels -- 1 Introduction -- 2 Obtaining Pixel-Level Scores from Image-Wise Predictions -- 2.1 Gradient -- 2.2 Deconvolution -- 2.3 Layer-Wise Relevance Propagation -- 3 Experiments -- 3.1 Performance on the SBD Task -- 3.2 Shortcomings of Visualization Methods -- 4 Conclusion -- References -- Semantic Segmentation of Outdoor Areas Using 3D Moment Invariants and Contextual Cues -- 1 Introduction -- 2 Related Work -- 3 Local Features Based on 3D Moment Invariants -- 3.1 3D Surface Moments -- 3.2 Local 3D Moment Invariants -- 4 Leveraging Context Information Using Random Forests -- 4.1 Random Forests for Semantic Segmentation -- 4.2 Contextual Cues from Local Neighborhoods -- 4.3 Cascaded Random Forests -- 5 Experiments -- 5.1 Segmentation of Individual Trees -- 5.2 Analysis of Forestal Areas -- 5.3 Urban Scenes -- 6 Conclusions -- References -- Neuron Pruning for Compressing Deep Networks Using Maxout Architectures -- 1 Introduction. , 2 Related Work -- 3 Fundamentals -- 4 Compressing Networks with Maxout Architectures -- 4.1 Neuron Pruning -- 4.2 Weight Pruning -- 5 Evaluation -- 5.1 Handwritten Digit Recognition -- 5.2 Face Verification -- 6 Conclusion -- References -- A Primal Dual Network for Low-Level Vision Problems -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Network Structure -- 3.2 Extension to Related Problems (from the TV-family) -- 4 Evaluation -- 4.1 From Energy Optimization to Algorithm Learning -- 5 Conclusion -- References -- End-to-End Learning of Video Super-Resolution with Motion Compensation -- 1 Introduction -- 2 Related Work -- 2.1 Image Super-Resolution -- 2.2 Video Super-Resolution -- 2.3 Motion Estimation -- 3 Video Super-Resolution with Patch-Based Training -- 4 Video Super-Resolution with Image-Based Training -- 5 Combined Warping and Upsampling Operation -- 6 Conclusions -- References -- Convolutional Neural Networks for Movement Prediction in Videos -- 1 Introduction -- 2 Related Work -- 3 Scenarios and Data Acquisition -- 3.1 Table Tennis Setup -- 3.2 Squash Setup -- 4 Trajectory Prediction Model -- 4.1 Network Architecture -- 5 Results -- 5.1 Table Tennis Scenario -- 5.2 Squash Scenario -- 5.3 Qualitative Results -- 6 Conclusion -- References -- Finding the Unknown: Novelty Detection with Extreme Value Signatures of Deep Neural Activations -- 1 Introduction -- 2 Related Work -- 3 Extreme Value Signatures -- 4 Experiments -- 4.1 Baseline Methods -- 4.2 Multi-class Novelty Detection on ImageNet Subsets -- 4.3 Computation Time Analysis -- 4.4 Large-Scale Multi-class Novelty Detection on ImageNet -- 4.5 Visualizing Class-Indicative Image Parts with EVS -- 5 Conclusion -- References -- Improving Facial Landmark Detection via a Super-Resolution Inception Network -- 1 Introduction -- 2 Related Work -- 3 Landmark Detection on Low Resolution Images. , 4 Proposed Super-Resolution Network -- 4.1 Network Architecture -- 4.2 Training -- 4.3 Results -- 5 Super Resolution for Facial Landmark Detection -- 5.1 Results -- 6 Conclusion -- References -- Mathematical Foundations, Statistical Data Analysis and Models -- Diverse M-Best Solutions by Dynamic Programming -- 1 Introduction -- 2 Related Work -- 3 Optimal Second Best Tree Solutions -- 4 Optimal M-Best Tree Solutions -- 5 Approximate Diverse M-Best Solutions -- 6 Applications and Experiments -- 7 Conclusion -- References -- Adaptive Regularization in Convex Composite Optimization for Variational Imaging Problems -- 1 Introduction -- 1.1 Related Work -- 2 Variational Model with Adaptive Parameter Balancing -- 2.1 Optimization with ADMM Algorithm -- 3 Applications -- 3.1 Image Segmentation -- 3.2 Motion Estimation -- 4 Numerical Results -- 4.1 Image Segmentation -- 4.2 Motion Estimation -- 5 Conclusion and Discussion -- References -- Variational Networks: Connecting Variational Methods and Deep Learning -- 1 Introduction -- 2 Variational Networks -- 2.1 Relation to Incremental Gradient Methods -- 2.2 Relation to Residual Networks -- 3 Variational Networks for Image Reconstruction -- 3.1 Problem Formulation and Parametrization -- 3.2 Training -- 4 Experiments -- 4.1 Energy Minimization with VNs -- 4.2 Approximate Incremental Minimization with VNs -- 4.3 VNs in a Reaction Diffusion Setup -- 5 Conclusion -- References -- Gradient Flows on a Riemannian Submanifold for Discrete Tomography -- 1 Introduction -- 2 Approach -- 3 Optimization -- 4 Numerical Experiments -- 5 Conclusion and Future Work -- References -- Model Selection for Gaussian Process Regression -- 1 Introduction -- 1.1 Existing Model Selection Criteria for Gaussian Processes -- 1.2 Our Contributions -- 2 Posterior Agreement Applied to Model Selection for Gaussian Process Regression. , 2.1 General Model Selection Framework Using Posterior Agreement.
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  • 3
    Online Resource
    Online Resource
    Piscataway :Rutgers University Press,
    Keywords: Science-Fieldwork-History. ; Electronic books.
    Description / Table of Contents: No detailed description available for "Knowing Global Environments".
    Type of Medium: Online Resource
    Pages: 1 online resource (275 pages)
    Edition: 1st ed.
    ISBN: 9780813550275
    Series Statement: Studies in Modern Science, Technology, and the Environment Series
    DDC: 507.2/3
    Language: English
    Note: Intro -- Contents -- Figures and Tables -- Acknowledgments -- Introduction -- One. From the Oceans to the Mountains: Spatial Science in an Age of Empire -- Two. Emigrants and Pioneers: Moritz Wagner's "Law of Migration" in Context -- Three. Negotiating the Agricultural Frontier in Nineteenth-Century Southern Ohio Archaeology -- Four. Managing Monocultures: Coffee, the Coffee Rust, and the Science of Working Landscapes -- Five. Rocky Mountain High Science: Teaching, Research, and Nature at Field Stations -- Six. On the Trail of the Ivory-Bill: Field Science, Local Knowledge, and the Struggle to Save Endangered Species -- Seven. Playing By-and On and Under-the Sea: The Importance of Play for Knowing the Ocean -- Eight. Planetary-Scale Fieldwork: Harry Wexler on the Possibilities of Ozone Depletion and Climate Control -- Nine. History of Field Science: Trends and Prospects -- Notes on Contributors -- Index.
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  • 4
    Online Resource
    Online Resource
    Berlin, Heidelberg :Springer Berlin / Heidelberg,
    Keywords: Spinal canal-Stenosis. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (109 pages)
    Edition: 1st ed.
    ISBN: 9783642678233
    DDC: 617.375
    Language: English
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  • 5
    Online Resource
    Online Resource
    Pittsburgh :University of Pittsburgh Press,
    Keywords: Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (513 pages)
    Edition: 1st ed.
    ISBN: 9780822981459
    Series Statement: INTERSECTIONS: Histories of Environment Series
    DDC: 508.78072/3
    Language: English
    Note: Intro -- Contents -- Acknowledgments -- Introduction -- 1. Making the Field -- 2. Lay Networks -- 3. Surveys -- 4. Quarries -- 5. Stations -- Epilogue -- Notes -- Bibliography -- Index.
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  • 6
    Online Resource
    Online Resource
    New York, NY :Springer,
    Keywords: Heart-Molecular aspects. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (313 pages)
    Edition: 1st ed.
    ISBN: 9781461312796
    Series Statement: Developments in Molecular and Cellular Biochemistry Series ; v.18
    DDC: 612.173
    Language: English
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  • 7
    Keywords: Hochschulschrift ; Krebstiere ; Temperaturanpassung
    Type of Medium: Book
    Pages: 93 S. , Ill., graph. Darst.
    Series Statement: Berichte aus dem Institut für Meereskunde an der Christian-Albrechts-Universität Kiel 226
    Language: German
    Note: Literaturverz. S. 87 - 93 , Zugl.: Kiel, Univ., Diss., 1992
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  • 8
    Online Resource
    Online Resource
    Berlin, Heidelberg : Springer Berlin Heidelberg
    Keywords: Mathematics ; Group theory ; Topological Groups ; Lie groups. ; Topological Groups, Lie Groups ; Group Theory and Generalizations ; Mathematics ; Determinantenring
    Description / Table of Contents: Determinantal rings and varieties have been a central topic of commutative algebra and algebraic geometry. Their study has attracted many prominent researchers and has motivated the creation of theories which may now be considered part of general commutative ring theory. The book gives a first coherent treatment of the structure of determinantal rings. The main approach is via the theory of algebras with straightening law. This approach suggest (and is simplified by) the simultaneous treatment of the Schubert subvarieties of Grassmannian. Other methods have not been neglected, however. Principal radical systems are discussed in detail, and one section is devoted to each of invariant and representation theory. While the book is primarily a research monograph, it serves also as a reference source and the reader requires only the basics of commutative algebra together with some supplementary material found in the appendix. The text may be useful for seminars following a course in commutative ring theory since a vast number of notions, results, and techniques can be illustrated significantly by applying them to determinantal rings
    Type of Medium: Online Resource
    Pages: Online-Ressource (VIII, 240 p, online resource)
    ISBN: 9783540392743 , 9783540194682
    Series Statement: Lecture Notes in Mathematics 1327
    RVK:
    Language: English
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  • 9
    Keywords: Hochschulschrift ; Krebstiere ; Temperaturanpassung
    Type of Medium: Online Resource
    Pages: Online-Ressource (95 Seiten, 3,2 MB) , Diagramme
    Series Statement: Berichte aus dem Institut für Meereskunde an der Christian-Albrechts-Universität Kiel 226
    Language: German
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  • 10
    Online Resource
    Online Resource
    Berlin, Heidelberg :Springer Berlin / Heidelberg,
    Keywords: Chemical elements. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (289 pages)
    Edition: 8th ed.
    ISBN: 9783662075036
    Series Statement: Gmelin Handbook of Inorganic and Organometallic Chemistry - 8th Edition Series ; v.S-c... / C / 11 / a
    DDC: 540
    Language: English
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