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Pattern Recognition and Computer Vision

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Cover of 'Pattern Recognition and Computer Vision'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Chinese Painting Rendering by Adaptive Style Transfer
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    Chapter 2 The Accurate Guidance for Image Caption Generation
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    Chapter 3 Large-Scale Visible Watermark Detection and Removal with Deep Convolutional Networks
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    Chapter 4 Learning to Generate Realistic Scene Chinese Character Images by Multitask Coupled GAN
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    Chapter 5 A Recognition Method of the Similarity Character for Uchen Script Tibetan Historical Document Based on DNN
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    Chapter 6 Research on the Method of Tibetan Recognition Based on Component Location Information
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    Chapter 7 Research on Text Line Segmentation of Historical Tibetan Documents Based on the Connected Component Analysis
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    Chapter 8 Online Handwriting Tibetan Character Recognition Based on Two-Dimensional Discriminant Locality Alignment
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    Chapter 9 Complex Printed Uyghur Document Image Retrieval Based on Modified SURF Features
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    Chapter 10 Deep Word Association: A Flexible Chinese Word Association Method with Iterative Attention Mechanism
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    Chapter 11 Face Recognition Based on Multi-view
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    Chapter 12 Conditional Face Synthesis for Data Augmentation
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    Chapter 13 Face Image Illumination Processing Based on GAN with Dual Triplet Loss
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    Chapter 14 Face Detection and Encryption for Privacy Preserving in Surveillance Video
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    Chapter 15 Content-Aware Face Blending by Label Propagation
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    Chapter 16 Facial Expression Recognition Based on Region-Wise Attention and Geometry Difference
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    Chapter 17 Score-Guided Face Alignment Network Under Occlusions
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    Chapter 18 Robust Face Detector with Fully Convolutional Networks
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    Chapter 19 Nuclear Norm Based Superposed Collaborative Representation Classifier for Robust Face Recognition
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    Chapter 20 Face Image Set Recognition Based on Bilinear Regression
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    Chapter 21 Semi-supervised Learning of Deep Difference Features for Facial Expression Recognition
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    Chapter 22 Noise Level Estimation for Overcomplete Dictionary Learning Based on Tight Asymptotic Bounds
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    Chapter 23 Perceptual Compressive Sensing
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    Chapter 24 Differential and Integral Invariants Under Möbius Transformation
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    Chapter 25 Automatic Classifier Selection Based on Classification Complexity
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    Chapter 26 Gradient-Based Representational Similarity Analysis with Searchlight for Analyzing fMRI Data
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    Chapter 27 Feature Aggregation Tree: Capture Temporal Motion Information for Action Recognition in Videos
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    Chapter 28 Adaptive Ensemble Probabilistic Matrix Approximation for Recommendation
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    Chapter 29 A Deep Structure-Enforced Nonnegative Matrix Factorization for Data Representation
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    Chapter 30 An Embedded Method for Feature Selection Using Kernel Parameter Descent Support Vector Machine
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    Chapter 31 Multimodal Joint Representation for User Interest Analysis on Content Curation Social Networks
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    Chapter 32 LTSG: Latent Topical Skip-Gram for Mutually Improving Topic Model and Vector Representations
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    Chapter 33 Improve the Spoofing Resistance of Multimodal Verification with Representation-Based Measures
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    Chapter 34 Function-Guided Energy-Precision Optimization with Precision-Rate-Complexity Bivariate Models
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    Chapter 35 Point Cloud Noise and Outlier Removal with Locally Adaptive Scale
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    Chapter 36 Robust Multi-view Subspace Learning Through Structured Low-Rank Matrix Recovery
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    Chapter 37 An Online Learning Approach for Robust Motion Tracking in Liver Ultrasound Sequence
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    Chapter 38 Set-to-Set Distance Metric Learning on SPD Manifolds
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    Chapter 39 Structure Fusion and Propagation for Zero-Shot Learning
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    Chapter 40 A Hierarchical Cluster Validity Based Visual Tree Learning for Hierarchical Classification
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    Chapter 41 Robust Shapelets Learning: Transform-Invariant Prototypes
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    Chapter 42 A Co-training Approach for Multi-view Density Peak Clustering
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    Chapter 43 Boosting Sparsity-Induced Autoencoder: A Novel Sparse Feature Ensemble Learning for Image Classification
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    Chapter 44 Matrix-Instance-Based One-Pass AUC Optimization
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    Chapter 45 Piecewise Harmonic Image Restoration with High Order Variational Model
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    Chapter 46 Dynamic Delay Based Cyclic Gradient Update Method for Distributed Training
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    Chapter 47 Semi-supervised Dictionary Active Learning for Pattern Classification
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    Chapter 48 Multi-feature Shared and Specific Representation for Pattern Classification
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    Chapter 49 Distillation of Random Projection Filter Bank for Time Series Classification
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    Chapter 50 Jointly Sparse Reconstructed Regression Learning
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    Chapter 51 Multi-scale Attributed Graph Kernel for Image Categorization
Overall attention for this book and its chapters
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Title
Pattern Recognition and Computer Vision
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-03338-5
ISBNs
978-3-03-003337-8, 978-3-03-003338-5
Editors

Lai, Jian-Huang, Liu, Cheng-Lin, Chen, Xilin, Zhou, Jie, Tan, Tieniu, Zheng, Nanning, Zha, Hongbin

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The data shown below were collected from the profiles of 8 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 15%
Student > Bachelor 1 8%
Other 1 8%
Lecturer 1 8%
Unknown 8 62%
Readers by discipline Count As %
Computer Science 2 15%
Mathematics 1 8%
Agricultural and Biological Sciences 1 8%
Economics, Econometrics and Finance 1 8%
Unknown 8 62%