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Pattern Recognition

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Cover of 'Pattern Recognition'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 A Quantitative Assessment of Image Normalization for Classifying Histopathological Tissue of the Kidney
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    Chapter 2 Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection
  4. Altmetric Badge
    Chapter 3 Learning Where to Drive by Watching Others
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    Chapter 4 Learning Dilation Factors for Semantic Segmentation of Street Scenes
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    Chapter 5 Learning to Filter Object Detections
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    Chapter 6 Motion Deblurring in the Wild
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    Chapter 7 Robust Multi-image HDR Reconstruction for the Modulo Camera
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    Chapter 8 Trainable Regularization for Multi-frame Superresolution
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    Chapter 9 A Comparative Study of Local Search Algorithms for Correlation Clustering
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    Chapter 10 Combined Precise Extraction and Topology of Points, Lines and Curves in Man-Made Environments
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    Chapter 11 Recurrent Residual Learning for Action Recognition
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    Chapter 12 A Local Spatio-Temporal Approach to Plane Wave Ultrasound Particle Image Velocimetry
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    Chapter 13 Object Boundary Detection and Classification with Image-Level Labels
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    Chapter 14 Semantic Segmentation of Outdoor Areas Using 3D Moment Invariants and Contextual Cues
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    Chapter 15 Neuron Pruning for Compressing Deep Networks Using Maxout Architectures
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    Chapter 16 A Primal Dual Network for Low-Level Vision Problems
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    Chapter 17 End-to-End Learning of Video Super-Resolution with Motion Compensation
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    Chapter 18 Convolutional Neural Networks for Movement Prediction in Videos
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    Chapter 19 Finding the Unknown: Novelty Detection with Extreme Value Signatures of Deep Neural Activations
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    Chapter 20 Improving Facial Landmark Detection via a Super-Resolution Inception Network
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    Chapter 21 Diverse M-Best Solutions by Dynamic Programming
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    Chapter 22 Adaptive Regularization in Convex Composite Optimization for Variational Imaging Problems
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    Chapter 23 Variational Networks: Connecting Variational Methods and Deep Learning
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    Chapter 24 Gradient Flows on a Riemannian Submanifold for Discrete Tomography
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    Chapter 25 Model Selection for Gaussian Process Regression
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    Chapter 26 Scalable Full Flow with Learned Binary Descriptors
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    Chapter 27 Edge Adaptive Seeding for Superpixel Segmentation
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    Chapter 28 Optical Flow-Based 3D Human Motion Estimation from Monocular Video
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    Chapter 29 On the Diffusion Process for Heart Rate Estimation from Face Videos Under Realistic Conditions
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    Chapter 30 Multi-view Continuous Structured Light Scanning
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    Chapter 31 Down to Earth: Using Semantics for Robust Hypothesis Selection for the Five-Point Algorithm
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    Chapter 32 An Efficient Octree Design for Local Variational Range Image Fusion
  34. Altmetric Badge
    Chapter 33 Measuring the Accuracy of Object Detectors and Trackers
Attention for Chapter 23: Variational Networks: Connecting Variational Methods and Deep Learning
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Chapter title
Variational Networks: Connecting Variational Methods and Deep Learning
Chapter number 23
Book title
Pattern Recognition
Published by
Springer, Cham, September 2017
DOI 10.1007/978-3-319-66709-6_23
Book ISBNs
978-3-31-966708-9, 978-3-31-966709-6
Authors

Erich Kobler, Teresa Klatzer, Kerstin Hammernik, Thomas Pock

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 102 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 32%
Researcher 15 15%
Student > Master 11 11%
Student > Bachelor 6 6%
Student > Doctoral Student 4 4%
Other 10 10%
Unknown 23 23%
Readers by discipline Count As %
Computer Science 25 25%
Engineering 22 22%
Mathematics 19 19%
Medicine and Dentistry 4 4%
Physics and Astronomy 2 2%
Other 3 3%
Unknown 27 26%