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Pattern Recognition

Overview of attention for book
Cover of 'Pattern Recognition'

Table of Contents

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    Book Overview
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    Chapter 1 Topology-Based 3D Reconstruction of Mid-Level Primitives in Man-Made Environments
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    Chapter 2 Associative Deep Clustering: Training a Classification Network with No Labels
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    Chapter 3 A Table Tennis Robot System Using an Industrial KUKA Robot Arm
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    Chapter 4 View-Aware Person Re-identification
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    Chapter 5 MC2SLAM: Real-Time Inertial Lidar Odometry Using Two-Scan Motion Compensation
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    Chapter 6 An Analysis by Synthesis Approach for Automatic Vertebral Shape Identification in Clinical QCT
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    Chapter 7 Parcel Tracking by Detection in Large Camera Networks
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    Chapter 8 Segmentation of Head and Neck Organs at Risk Using CNN with Batch Dice Loss
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    Chapter 9 Detection of Mechanical Damages in Sawn Timber Using Convolutional Neural Networks
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    Chapter 10 Compressed-Domain Video Object Tracking Using Markov Random Fields with Graph Cuts Optimization
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    Chapter 11 Metric-Driven Learning of Correspondence Weighting for 2-D/3-D Image Registration
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    Chapter 12 Multi-view X-Ray R-CNN
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    Chapter 13 Ex Paucis Plura: Learning Affordance Segmentation from Very Few Examples
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    Chapter 14 Domain Generalization with Domain-Specific Aggregation Modules
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    Chapter 15 X-GAN: Improving Generative Adversarial Networks with ConveX Combinations
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    Chapter 16 A Randomized Gradient-Free Attack on ReLU Networks
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    Chapter 17 Cross and Learn: Cross-Modal Self-supervision
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    Chapter 18 KS(conf): A Light-Weight Test if a ConvNet Operates Outside of Its Specifications
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    Chapter 19 Sublabel-Accurate Convex Relaxation with Total Generalized Variation Regularization
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    Chapter 20 On the Integration of Optical Flow and Action Recognition
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    Chapter 21 Context-driven Multi-stream LSTM (M-LSTM) for Recognizing Fine-Grained Activity of Drivers
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    Chapter 22 3D Fluid Flow Estimation with Integrated Particle Reconstruction
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    Chapter 23 NRST: Non-rigid Surface Tracking from Monocular Video
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    Chapter 24 Counting the Uncountable: Deep Semantic Density Estimation from Space
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    Chapter 25 Acquire, Augment, Segment and Enjoy: Weakly Supervised Instance Segmentation of Supermarket Products
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    Chapter 26 Vehicle Re-identification in Context
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    Chapter 27 Low-Shot Learning of Plankton Categories
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    Chapter 28 Multimodal Dense Stereo Matching
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    Chapter 29 Deep Distance Transform to Segment Visually Indistinguishable Merged Objects
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    Chapter 30 Multi-class Cell Segmentation Using CNNs with F $$_1$$ -measure Loss Function
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    Chapter 31 Improved Semantic Stixels via Multimodal Sensor Fusion
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    Chapter 32 Convolve, Attend and Spell: An Attention-based Sequence-to-Sequence Model for Handwritten Word Recognition
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    Chapter 33 Illumination Estimation Is Sufficient for Indoor-Outdoor Image Classification
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    Chapter 34 DeepKey: Towards End-to-End Physical Key Replication from a Single Photograph
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    Chapter 35 Deriving Neural Network Architectures Using Precision Learning: Parallel-to-Fan Beam Conversion
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    Chapter 36 Detecting Face Morphing Attacks by Analyzing the Directed Distances of Facial Landmarks Shifts
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    Chapter 37 KloudNet: Deep Learning for Sky Image Analysis and Irradiance Forecasting
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    Chapter 38 Learning Style Compatibility for Furniture
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    Chapter 39 Temporal Interpolation as an Unsupervised Pretraining Task for Optical Flow Estimation
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    Chapter 40 Decoupling Respiratory and Angular Variation in Rotational X-ray Scans Using a Prior Bilinear Model
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    Chapter 41 Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in CNNs
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    Chapter 42 End-to-End Learning of Deterministic Decision Trees
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    Chapter 43 Taming the Cross Entropy Loss
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    Chapter 44 Supervised Deep Kriging for Single-Image Super-Resolution
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    Chapter 45 Information-Theoretic Active Learning for Content-Based Image Retrieval
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    Chapter 46 AFSI: Adaptive Restart for Fast Semi-Iterative Schemes for Convex Optimisation
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    Chapter 47 Invexity Preserving Transformations for Projection Free Optimization with Sparsity Inducing Non-convex Constraints
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    Chapter 48 Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment
Overall attention for this book and its chapters
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Title
Pattern Recognition
Published by
Springer International Publishing, May 2019
DOI 10.1007/978-3-030-12939-2
ISBNs
978-3-03-012938-5, 978-3-03-012939-2
Editors

Brox, Thomas, Bruhn, Andrés, Fritz, Mario

X Demographics

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The data shown below were collected from the profiles of 18 X users 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Computer Science 1 100%