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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 From Linear Representations to Object Parts
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    Chapter 2 Perceptual Grouping Using Superpixels
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    Chapter 3 Automatic Design of Artificial Neural Networks and Associative Memories for Pattern Classification and Pattern Restoration
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    Chapter 4 An Automatic Image Scaling Up Algorithm
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    Chapter 5 Sampling Techniques for Monte Carlo Matrix Multiplication with Applications to Image Processing
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    Chapter 6 Extended Photometric Sampling for Surface Shape Recovery
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    Chapter 7 A Segmentation Method for Tree Crown Detection and Modelling from LiDAR Measurements
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    Chapter 8 Texture Analysis for Skin Probability Maps Refinement
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    Chapter 9 Composite Correlation Filters for Detection of Geometrically Distorted Objects Using Noisy Training Images
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    Chapter 10 Adaptive Spatial Concealment of Damaged Coded Images
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    Chapter 11 Human Sign Recognition for Robot Manipulation
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    Chapter 12 Fuzzy Sets for Human Fall Pattern Recognition
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    Chapter 13 Vision System for 3D Reconstruction with Telecentric Lens
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    Chapter 14 A Tool for Hand-Sign Recognition
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    Chapter 15 Improving the Multiple Alignments Strategy for Fingerprint Verification
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    Chapter 16 Breaking reCAPTCHAs with unpredictable collapse: heuristic character segmentation and recognition
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    Chapter 17 Using Short-Range Interactions and Simulated Genetic Strategy to Improve the Protein Contact Map Prediction
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    Chapter 18 Associative Model for Solving the Wall-Following Problem
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    Chapter 19 The List of Clusters Revisited
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    Chapter 20 A Heuristically Perturbation of Dataset to Achieve a Diverse Ensemble of Classifiers
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    Chapter 21 Compact and Efficient Permutations for Proximity Searching
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    Chapter 22 NURBS Parameterization: A New Method of Parameterization Using the Correlation Relationship between Nodes
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    Chapter 23 Genetic Algorithm for Multidimensional Scaling over Mixed and Incomplete Data
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    Chapter 24 Experimental Validation of an Evolutionary Method to Identify a Mobile Robot’s Position
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    Chapter 25 Up and Down Trend Associations in Analysis of Time Series Shape Association Patterns
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    Chapter 26 Unsupervised Linkage Learner Based on Local Optimums
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    Chapter 27 A Modified Back-Propagation Algorithm to Deal with Severe Two-Class Imbalance Problems on Neural Networks
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    Chapter 28 Computing #2SAT and #2UNSAT by Binary Patterns
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    Chapter 29 A New Document Author Representation for Authorship Attribution
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    Chapter 30 A Machine-Translation Method for Normalization of SMS
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    Chapter 31 Reduced Universal Background Model for Speech Recognition and Identification System
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    Chapter 32 GA Approaches to HMM Optimization for Automatic Speech Recognition
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    Chapter 33 Phonetic Unification of Multiple Accents for Spanish and Arabic Languages
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    Chapter 34 Environmental Sound Recognition by Measuring Significant Changes in the Spectral Entropy
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Title
Pattern Recognition
Published by
Springer Berlin Heidelberg, June 2012
DOI 10.1007/978-3-642-31149-9
ISBNs
978-3-64-231148-2, 978-3-64-231149-9
Editors

Carrasco-Ochoa, Jesús Ariel, Martínez-Trinidad, José Francisco, Olvera López, José Arturo, Boyer, Kim L.

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 %
Professor 1 100%
Readers by discipline Count As %
Computer Science 1 100%