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Pattern Recognition

Overview of attention for book
Cover of 'Pattern Recognition'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Resilient Subclass Discriminant Analysis with Application to Prelens Tear Film Interferometry
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    Chapter 2 Context Sensitive Information: Model Validation by Information Theory
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    Chapter 3 Evolutionary Multi-Objective Optimization: Basic Concepts and Some Applications in Pattern Recognition
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    Chapter 4 Comparative Diagnostic Accuracy of Linear and Nonlinear Feature Extraction Methods in a Neuro-oncology Problem
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    Chapter 5 Efficient Group of Permutants for Proximity Searching
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    Chapter 6 Solving 3-Colouring via 2SAT
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    Chapter 7 Classifier Selection by Clustering
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    Chapter 8 Ensemble of Classifiers Based on Hard Instances
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    Chapter 9 Scalable Pattern Search Analysis
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    Chapter 10 Application of Pattern Recognition Techniques to Hydrogeological Modeling of Mature Oilfields
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    Chapter 11 On Trend Association Analysis of Time Series of Atmospheric Pollutants and Meteorological Variables in Mexico City Metropolitan Area
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    Chapter 12 Associative Memory Approach for the Diagnosis of Parkinson’s Disease
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    Chapter 13 Thermal Video Analysis for Fire Detection Using Shape Regularity and Intensity Saturation Features
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    Chapter 14 Pattern Recognition
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    Chapter 15 Measuring Rectangularity Using GR-signature
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    Chapter 16 Multi-modal 3D Image Registration Based on Estimation of Non-rigid Deformation
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    Chapter 17 Performance of Correlation Filters in Facial Recognition
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    Chapter 18 Evaluation of Binarization Algorithms for Camera-Based Devices
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    Chapter 19 A Hybrid Approach for Pap-Smear Cell Nucleus Extraction
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    Chapter 20 Segmentation of Noisy Images Using the Rank M-type L-filter and the Fuzzy C-Means Clustering Algorithm
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    Chapter 21 Design of Correlation Filters for Pattern Recognition Using a Noisy Training Image
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    Chapter 22 Image Fusion Algorithm Using the Multiresolution Directional-Oriented Hermite Transform
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    Chapter 23 Normalized Cut Based Edge Detection
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    Chapter 24 Homogeneity Cues for Texel Size Estimation of Periodic and Near-Periodic Textures
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    Chapter 25 Adaptive Thresholding Methods for Documents Image Binarization
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    Chapter 26 Foveated ROI Compression with Hierarchical Trees for Real-Time Video Transmission
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    Chapter 27 Neural Networks to Guide the Selection of Heuristics within Constraint Satisfaction Problems
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    Chapter 28 Microcalcifications Detection Using PFCM and ANN
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    Chapter 29 Software Development Effort Estimation in Academic Environments Applying a General Regression Neural Network Involving Size and People Factors
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    Chapter 30 An Ensemble of Degraded Neural Networks
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    Chapter 31 Genetic Fuzzy Relational Neural Network for Infant Cry Classification
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    Chapter 32 Speech Compression Based on Frequency Warped Cepstrum and Wavelet Analysis
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    Chapter 33 Dust Storm Detection Using a Neural Network with Uncertainty and Ambiguity Output Analysis
  35. Altmetric Badge
    Chapter 34 Extraction of Buildings Footprint from LiDAR Altimetry Data with the Hermite Transform
  36. Altmetric Badge
    Chapter 35 Automatic Acquisition of Synonyms of Verbs from an Explanatory Dictionary Using Hyponym and Hyperonym Relations
  37. Altmetric Badge
    Chapter 36 Using Finite State Models for the Integration of Hierarchical LMs into ASR Systems
  38. Altmetric Badge
    Chapter 37 Use of Elliptic Curves in Term Discrimination
Attention for Chapter 10: Application of Pattern Recognition Techniques to Hydrogeological Modeling of Mature Oilfields
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Citations

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Chapter title
Application of Pattern Recognition Techniques to Hydrogeological Modeling of Mature Oilfields
Chapter number 10
Book title
Pattern Recognition
Published in
Lecture notes in computer science, June 2011
DOI 10.1007/978-3-642-21587-2_10
Book ISBNs
978-3-64-221586-5, 978-3-64-221587-2
Authors

Leonid Sheremetov, Ana Cosultchi, Ildar Batyrshin, Jorge Velasco-Hernandez

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Professor 2 29%
Researcher 2 29%
Student > Bachelor 1 14%
Unknown 2 29%
Readers by discipline Count As %
Computer Science 2 29%
Mathematics 1 14%
Business, Management and Accounting 1 14%
Medicine and Dentistry 1 14%
Unknown 2 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 December 2013.
All research outputs
#20,265,771
of 22,796,179 outputs
Outputs from Lecture notes in computer science
#6,984
of 8,127 outputs
Outputs of similar age
#107,002
of 115,672 outputs
Outputs of similar age from Lecture notes in computer science
#52
of 64 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 115,672 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

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