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Pattern Recognition

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Cover of 'Pattern Recognition'

Table of Contents

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    Book Overview
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    Chapter 1 Saliency Region Detection via Graph Model and Statistical Learning
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    Chapter 2 An Efficient Gabor Feature-Based Multi-task Joint Support Vector Machines Framework for Hyperspectral Image Classification
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    Chapter 3 Single Image Haze Removal Based on Priori Image Geometry and Edge-Preserving Filtering
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    Chapter 4 Semantic Segmentation with Modified Deep Residual Networks
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    Chapter 5 A Quantum-Inspired Fuzzy Clustering for Solid Oxide Fuel Cell Anode Optical Microscope Images Segmentation
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    Chapter 6 Document Image Super-Resolution Reconstruction Based on Clustering Learning and Kernel Regression
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    Chapter 7 Image Fusion and Super-Resolution with Convolutional Neural Network
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    Chapter 8 Robust Segmentation for Video Captions with Complex Backgrounds
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    Chapter 9 Single Low-Light Image Enhancement Using Luminance Map
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    Chapter 10 Image Copy Detection Based on Convolutional Neural Networks
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    Chapter 11 Perceptual Loss with Fully Convolutional for Image Residual Denoising
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    Chapter 12 Single Image Super Resolution Through Multi Extreme Learning Machine Regressor Fusion
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    Chapter 13 Learning-Based Weighted Total Variation for Structure Preserving Texture Removal
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    Chapter 14 A Novel Texture Extraction Method for the Sedimentary Structures’ Classification of Petroleum Imaging Logging
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    Chapter 15 Rank Beauty
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    Chapter 16 Robust Optic Disc Detection Based on Multi-features and Two-Stage Decision Strategy
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    Chapter 17 Hierarchical Saliency Detection Under Foggy Weather Fusing Spectral Residual and Phase Spectrum
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    Chapter 18 Hierarchical Image Matching Method Based on Free-Form Linear Features
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    Chapter 19 Improved Saliency Optimization Based on Superpixel-Wised Objectness and Boundary Connectivity
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    Chapter 20 A Dual-Based Adaptive Gradient Method for TV Image Denoising
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    Chapter 21 Image Inpainting Based on Sparse Representation with Dictionary Pre-clustering
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    Chapter 22 Efficient Image Retrieval via Feature Fusion and Adaptive Weighting
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    Chapter 23 The Effect of Quantization Setting for Image Denoising Methods: An Empirical Study
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    Chapter 24 GPCA-SIFT: A New Local Feature Descriptor for Scene Image Classification
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    Chapter 25 Low-Quality Character Recognition Based on Dictionary Learning and Sparse Representation
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    Chapter 26 A Unified Approach for Spatial and Angular Super-Resolution of Diffusion Tensor MRI
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    Chapter 27 Dump Truck Recognition Based on SCPSR in Videos
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    Chapter 28 Parallel Randomized Block Coordinate Descent for Neural Probabilistic Language Model with High-Dimensional Output Targets
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    Chapter 29 Multi-label Ranking with LSTM \(^2\) for Document Classification
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    Chapter 30 Attribute Based Approach for Clothing Recognition
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    Chapter 31 Bloody Image Classification with Global and Local Features
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    Chapter 32 Local Connectedness Constraint and Contrast Normalization Based Microaneurysm Detection
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    Chapter 33 Aurora Sequences Classification and Aurora Events Detection Based on Hidden Conditional Random Fields
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    Chapter 34 Source Printer Authentication for Printed Documents Based on Factor Analysis
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    Chapter 35 Applying Batch Normalization to Hybrid NN-HMM Model For Speech Recognition
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    Chapter 36 Preprocessing Algorithm Research of Touchless Fingerprint Feature Extraction and Matching
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    Chapter 37 Violent Scene Detection Using Convolutional Neural Networks and Deep Audio Features
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    Chapter 38 Random Walk Based Global Feature for Disease Gene Identification
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    Chapter 39 Multi-stage Feature Extraction in Offline Handwritten Chinese Character Recognition
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    Chapter 40 Multi-modal Brain Tumor Segmentation Based on Self-organizing Active Contour Model
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    Chapter 41 A New Subcellular Localization Predictor for Human Proteins Considering the Correlation of Annotation Features and Protein Multi-localization
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    Chapter 42 Biomedical Named Entity Recognition Based on Multistage Three-Way Decisions
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    Chapter 43 Chinese Image Text Recognition with BLSTM-CTC: A Segmentation-Free Method
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    Chapter 44 An Unsupervised Change Detection Approach for Remote Sensing Image Using SURF and SVM
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    Chapter 45 Semi-supervised Learning of Bottleneck Feature for Music Genre Classification
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    Chapter 46 Simultaneous Audio Source Localization and Microphone Placement
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    Chapter 47 A Character-Based Method for License Plate Detection in Complex Scenes
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    Chapter 48 Script Identification Based on HSV Features
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    Chapter 49 Robust Principal Component Analysis Based Speaker Verification Under Additive Noise Conditions
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    Chapter 50 Recurrent Neural Network Based Language Model Adaptation for Accent Mandarin Speech
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    Chapter 51 Audio-Video Based Multimodal Emotion Recognition Using SVMs and Deep Learning
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    Chapter 52 Emotion Recognition in Videos via Fusing Multimodal Features
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    Chapter 53 Feature Learning via Deep Belief Network for Chinese Speech Emotion Recognition
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    Chapter 54 The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge
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    Chapter 55 MEC 2016: The Multimodal Emotion Recognition Challenge of CCPR 2016
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    Chapter 56 Video Based Emotion Recognition Using CNN and BRNN
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    Chapter 57 Audio Visual Recognition of Spontaneous Emotions In-the-Wild
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    Chapter 58 The SYSU System for CCPR 2016 Multimodal Emotion Recognition Challenge
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    Chapter 59 Transfer Learning of Deep Neural Network for Speech Emotion Recognition
Overall attention for this book and its chapters
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Title
Pattern Recognition
Published by
Springer Singapore, January 2016
DOI 10.1007/978-981-10-3005-5
ISBNs
978-9-81-103004-8, 978-9-81-103005-5
Editors

Tieniu Tan, Xuelong Li, Xilin Chen, Jie Zhou, Jian Yang, Hong Cheng

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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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 25%
Student > Ph. D. Student 4 20%
Student > Postgraduate 2 10%
Researcher 1 5%
Student > Bachelor 1 5%
Other 0 0%
Unknown 7 35%
Readers by discipline Count As %
Computer Science 9 45%
Engineering 4 20%
Unknown 7 35%