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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 Text Detection in Digital Images Captured with Low Resolution Under Nonuniform Illumination Conditions
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    Chapter 2 Rotation Invariant Local Shape Descriptors for Classification of Archaeological 3D Models
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    Chapter 3 Feature Extraction as Ellipse of Wild-Life Images
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    Chapter 4 Comparing Threshold-Selection Methods for Image Segmentation: Application to Defect Detection in Automated Visual Inspection Systems
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    Chapter 5 Training a Multilayered Perceptron to Compute the Euler Number of a 2-D Binary Image
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    Chapter 6 Edge Detection in Time Variant Scenarios Based on a Novel Perceptual Method and a Gestalt Spiking Cortical Model
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    Chapter 7 An Effective Image De-noising Alternative Approach Based on Third Generation Neural Networks
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    Chapter 8 Toward the Labeled Segmentation of Natural Images Using Rough-Set Rules
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    Chapter 9 Dynamic Object Detection and Representation for Mobile Robot Application
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    Chapter 10 Saliency Detection Based on Heuristic Rules
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    Chapter 11 Order Tracking by Square-Root Cubature Kalman Filter with Constraints
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    Chapter 12 Contour Detection at Range Images Using Sparse Normal Detector
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    Chapter 13 An Optimization Approach to the TWPVD Method for Digital Image Steganography
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    Chapter 14 Real Time Gesture Recognition with Heuristic-Based Classification
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    Chapter 15 Simultaneous Encryption and Compression of Digital Images Based on Secure-JPEG Encoding
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    Chapter 16 Automatic Tuning of the Pulse-Coupled Neural Network Using Differential Evolution for Image Segmentation
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    Chapter 17 Efficient Counting of the Number of Independent Sets on Polygonal Trees
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    Chapter 18 SMOTE-D a Deterministic Version of SMOTE
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    Chapter 19 A Glance to the Goldman’s Testors from the Point of View of Rough Set Theory
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    Chapter 20 Automatic Construction of Radial-Basis Function Networks Through an Adaptive Partition Algorithm
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    Chapter 21 Feature Selection Using Genetic Algorithms for Hand Posture Recognition
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    Chapter 22 Activity Recognition in Meetings with One and Two Kinect Sensors
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    Chapter 23 EEG Pattern Recognition: An Efficient Improvement Combination of ERD/ERS/Laterality Features to Create a Self-paced BCI System
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    Chapter 24 Highly Transparent Steganography Scheme of Speech Signals into Color Images Using Quantization Index Modulation
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    Chapter 25 High Scrambling Degree in Audio Through Imitation of an Unintelligible Signal
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    Chapter 26 A Dynamic Indoor Location Model for Smartphones Based on Magnetic Field: A Preliminary Approach
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    Chapter 27 Using N-Grams of Quantized EEG Values for Happiness Detection
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    Chapter 28 LSTM Deep Neural Networks Postfiltering for Improving the Quality of Synthetic Voices
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    Chapter 29 Detecting Pneumatic Failures on Temporary Immersion Bioreactors
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    Chapter 30 Classification of Motor States from Brain Rhythms Using Lattice Neural Networks
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    Chapter 31 Crime Detection via Crowdsourcing
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    Chapter 32 Signature Recognition: Human Performance Analysis vs. Automatic System and Feature Extraction via Crowdsourcing
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    Chapter 33 Automated Image Registration for Knee Pain Prediction in Osteoarthritis: Data from the OAI
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    Chapter 34 Towards a Supervised Incremental Learning System for Automatic Recognition of the Skeletal Age
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Title
Pattern Recognition
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-39393-3
ISBNs
978-3-31-939392-6, 978-3-31-939393-3
Editors

José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, Victor Ayala Ramirez, José Arturo Olvera-López, Xiaoyi Jiang

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

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 17%
Student > Ph. D. Student 3 13%
Lecturer 2 9%
Researcher 2 9%
Professor 1 4%
Other 1 4%
Unknown 10 43%
Readers by discipline Count As %
Computer Science 6 26%
Engineering 4 17%
Mathematics 1 4%
Psychology 1 4%
Design 1 4%
Other 0 0%
Unknown 10 43%