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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

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Cover of 'Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Direction-Based Segmentation of Retinal Blood Vessels
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    Chapter 2 Identifying Aedes aegypti Mosquitoes by Sensors and One-Class Classifiers
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    Chapter 3 Partial Matching of Finger Vein Patterns Based on Point Sets Alignment and Directional Information
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    Chapter 4 Highly Transparent and Secure Scheme for Concealing Text Within Audio
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    Chapter 5 Spatio-colour Asplünd 's metric and Logarithmic Image Processing for Colour Images (LIPC)
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    Chapter 6 Two Compound Random Field Texture Models
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    Chapter 7 An Automatic Tortoise Specimen Recognition
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    Chapter 8 Autonomous Scanning of Structural Elements in Buildings
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    Chapter 9 Parallel Integer Motion Estimation for High Efficiency Video Coding (HEVC) Using OpenCL
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    Chapter 10 Automatic Fruit and Vegetable Recognition Based on CENTRIST and Color Representation
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    Chapter 11 Scale Sensitivity of Textural Features
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    Chapter 12 Noise-Added Texture Analysis
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    Chapter 13 Breast Density Classification with Convolutional Neural Networks
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    Chapter 14 Community Feature Selection for Anomaly Detection in Attributed Graphs
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    Chapter 15 Lung Nodule Classification Based on Deep Convolutional Neural Networks
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    Chapter 16 A Hierarchical K-Nearest Neighbor Approach for Volume of Tissue Activated Estimation
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    Chapter 17 Discriminative Capacity and Phonetic Information of Bottleneck Features in Speech
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    Chapter 18 Boosting SpLSA for Text Classification
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    Chapter 19 A Compact Representation of Multiscale Dissimilarity Data by Prototype Selection
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    Chapter 20 A Kernel-Based Approach for DBS Parameter Estimation
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    Chapter 21 Consensual Iris Segmentation Fusion
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    Chapter 22 Depth Estimation with Light Field and Photometric Stereo Data Using Energy Minimization
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    Chapter 23 Distributed and Parallel Algorithm for Computing Betweenness Centrality
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    Chapter 24 A New Parallel Training Algorithm for Optimum-Path Forest-Based Learning
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    Chapter 25 Face Composite Sketch Recognition by BoVW-Based Discriminative Representations
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    Chapter 26 Efficient Sparse Approximation of Support Vector Machines Solving a Kernel Lasso
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    Chapter 27 Metric Learning in the Dissimilarity Space to Improve Low-Resolution Face Recognition
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    Chapter 28 Video Temporal Segmentation Based on Color Histograms and Cross-Correlation
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    Chapter 29 Automatic Classification of Herbal Substances Enhanced with an Entropy Criterion
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    Chapter 30 Extended LBP Operator to Characterize Event-Address Representation Connectivity
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    Chapter 31 Definition and Composition of Motor Primitives Using Latent Force Models and Hidden Markov Models
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    Chapter 32 Similarity Measure for Cell Membrane Fusion Proteins Identification
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    Chapter 33 Abnormal Behavior Detection in Crowded Scenes Based on Optical Flow Connected Components
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    Chapter 34 Identifying Colombian Bird Species from Audio Recordings
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    Chapter 35 GMM Background Modeling Using Divergence-Based Weight Updating
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    Chapter 36 Bayesian Optimization for Fitting 3D Morphable Models of Brain Structures
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    Chapter 37 Star: A Contextual Description of Superpixels for Remote Sensing Image Classification
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    Chapter 38 A Similarity Indicator for Differentiating Kinematic Performance Between Qualified Tennis Players
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    Chapter 39 Subsampling the Concurrent AdaBoost Algorithm: An Efficient Approach for Large Datasets
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    Chapter 40 Deep Learning Features for Wireless Capsule Endoscopy Analysis
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    Chapter 41 Interactive Data Visualization Using Dimensionality Reduction and Similarity-Based Representations
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    Chapter 42 Multi-labeler Classification Using Kernel Representations and Mixture of Classifiers
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    Chapter 43 Detection of Follicles in Ultrasound Videos of Bovine Ovaries
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    Chapter 44 Decision Level Fusion for Audio-Visual Speech Recognition in Noisy Conditions
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    Chapter 45 Improving Nearest Neighbor Based Multi-target Prediction Through Metric Learning
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    Chapter 46 An Approximate Support Vector Machines Solver with Budget Control
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    Chapter 47 Multi-biometric Template Protection on Smartphones: An Approach Based on Binarized Statistical Features and Bloom Filters
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    Chapter 48 Computing Arithmetic Operations on Sequences of Handwritten Digits
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    Chapter 49 Automatic Classification of Non-informative Frames in Colonoscopy Videos Using Texture Analysis
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    Chapter 50 Efficient Training Over Long Short-Term Memory Networks for Wind Speed Forecasting
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    Chapter 51 Classifying Estimated Stereo Correspondences Based on Delaunay Triangulation
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    Chapter 52 Data Fusion from Multiple Stations for Estimation of PM2.5 in Specific Geographical Location
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    Chapter 53 Multivariate Functional Network Connectivity for Disorders of Consciousness
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    Chapter 54 Non-parametric Source Reconstruction via Kernel Temporal Enhancement for EEG Data
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    Chapter 55 Tsallis Entropy Extraction for Mammographic Region Classification
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    Chapter 56 Edge Detection Robust to Intensity Inhomogeneity: A 7T MRI Case Study
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    Chapter 57 Fine-Tuning Based Deep Convolutional Networks for Lepidopterous Genus Recognition
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    Chapter 58 Selection of Statistically Representative Subset from a Large Data Set
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    Chapter 59 Non-local Exposure Fusion
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    Chapter 60 Analysis of the Geometry and Electric Properties of Brain Tissue in Simulation Models for Deep Brain Stimulation
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    Chapter 61 Spatial Resolution Enhancement in Ultrasound Images from Multiple Annotators Knowledge
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    Chapter 62 How Deep Can We Rely on Emotion Recognition
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    Chapter 63 Sparse Linear Models Applied to Power Quality Disturbance Classification
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    Chapter 64 Trading off Distance Metrics vs Accuracy in Incremental Learning Algorithms
Attention for Chapter 30: Extended LBP Operator to Characterize Event-Address Representation Connectivity
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Chapter title
Extended LBP Operator to Characterize Event-Address Representation Connectivity
Chapter number 30
Book title
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Published by
Springer, Cham, November 2016
DOI 10.1007/978-3-319-52277-7_30
Book ISBNs
978-3-31-952276-0, 978-3-31-952277-7
Authors

Pablo Negri

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Librarian 1 33%
Student > Ph. D. Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Social Sciences 1 33%
Engineering 1 33%
Unknown 1 33%