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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 Empirical Characterization of Camera Noise
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    Chapter 2 Vision-Based Biometrics for Conservation
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    Chapter 3 A Fuzzy Scheme for Gait Cycle Phase Detection Oriented to Medical Diagnosis
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    Chapter 4 Virtual Target Formulation for Singularity-Free Visual Control Using the Trifocal Tensor
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    Chapter 5 Assessing the Quality Level of Corn Tortillas with Inductive Characterization and Digital Image Analysis
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    Chapter 6 3D Representation for Object Detection and Verification
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    Chapter 7 3D Tracking and Control of UAV Using Planar Faces and Monocular Camera
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    Chapter 8 Third-Eye Stereo Analysis Evaluation Enhanced by Data Measures
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    Chapter 9 Counting Pedestrians in Bidirectional Scenarios Using Zenithal Depth Images
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    Chapter 10 Tracklet Reidentification in Crowded Scenes Using Bag of Spatio-temporal Histograms of Oriented Gradients
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    Chapter 11 LIDAR and Panoramic Camera Extrinsic Calibration Approach Using a Pattern Plane
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    Chapter 12 Video Images Fusion to Improve Iris Recognition Accuracy in Unconstrained Environments
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    Chapter 13 Perception Aptitude Improvement of an Odor Sensor: Model for a Biologically Inspired Nose
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    Chapter 14 A New Gaze Analysis Based Soft-Biometric
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    Chapter 15 Evaluating Shape Descriptors for Detection of Maya Hieroglyphs
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    Chapter 16 Person Re-identification Based on Enriched Symmetry Salient Features and Graph Matching
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    Chapter 17 A Video-Based Spatio-temporal Biometric Template Representation of the Spontaneous Pupillary Oscillations: A Pilot Experiment
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    Chapter 18 Image Segmentation Based on Representative Colors Detection and Region Merging
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    Chapter 19 Integer Wavelet Transform Based Watermarking System for PCM Signals
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    Chapter 20 Enhancing CCL Algorithms by Using a Reduced Connectivity Mask
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    Chapter 21 Watershed Based Iris SEgmentation
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    Chapter 22 A Multiscale Erosion Operator for Discriminating Ground Points in LiDAR Point Clouds
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    Chapter 23 Enhancing Biomedical Images Using the UFIR Filters with Recursive Responses
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    Chapter 24 EEG PATTERN RECOGNITION: Application to a Real Time Control System for Android-Based Mobile Devices
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    Chapter 25 Regression via Logic Supervised Classification
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    Chapter 26 Pattern Recognition
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    Chapter 27 An Empirical Study of Oversampling and Undersampling Methods for LCMine an Emerging Pattern Based Classifier
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    Chapter 28 Recognizing Structural Patterns on Graphs for the Efficient Computation of #2SAT
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    Chapter 29 A Supervised Learning Approach to Construct Hyper-heuristics for Constraint Satisfaction
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    Chapter 30 Social Interaction Discovery: A Simulated Multiagent Approach
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    Chapter 31 Associative Model for the Forecasting of Time Series Based on the Gamma Classifier
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    Chapter 32 Modified Dendrite Morphological Neural Network Applied to 3D Object Recognition
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    Chapter 33 Hybrid Associative Memories for Imbalanced Data Classification: An Experimental Study
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    Chapter 34 Assessments Metrics for Multi-class Imbalance Learning: A Preliminary Study
  36. Altmetric Badge
    Chapter 35 Non-conventional Control and Implementation of an Electric Wheelchair Designed to Climb Up Stairs, Controlled via Electromyography and Supported by Artificial Neural Network Processing
  37. Altmetric Badge
    Chapter 36 A Question Answering System for Reading Comprehension Tests
  38. Altmetric Badge
    Chapter 37 Determining the Degree of Semantic Similarity Using Prototype Vectors
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    Chapter 38 Single Extractive Text Summarization Based on a Genetic Algorithm
Attention for Chapter 24: EEG PATTERN RECOGNITION: Application to a Real Time Control System for Android-Based Mobile Devices
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Chapter title
EEG PATTERN RECOGNITION: Application to a Real Time Control System for Android-Based Mobile Devices
Chapter number 24
Book title
Pattern Recognition
Published in
Lecture notes in computer science, January 2013
DOI 10.1007/978-3-642-38989-4_24
Book ISBNs
978-3-64-238988-7, 978-3-64-238989-4
Authors

Liliana Gutiérrez-Flores, Carlos Avilés-Cruz, Juan Villegas-Cortez, Andrés Ferreyra-Ramírez, Liliana Gutiérrez-Flores, Carlos Avilés-Cruz, Andrés Ferreyra-Ramírez

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 40%
Professor 5 33%
Student > Bachelor 1 7%
Student > Ph. D. Student 1 7%
Researcher 1 7%
Other 0 0%
Unknown 1 7%
Readers by discipline Count As %
Computer Science 8 53%
Engineering 4 27%
Neuroscience 1 7%
Social Sciences 1 7%
Unknown 1 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 16 September 2015.
All research outputs
#13,385,646
of 22,711,645 outputs
Outputs from Lecture notes in computer science
#3,989
of 8,124 outputs
Outputs of similar age
#158,260
of 280,737 outputs
Outputs of similar age from Lecture notes in computer science
#147
of 314 outputs
Altmetric has tracked 22,711,645 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 49th percentile – i.e., 49% 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 280,737 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 314 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.