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Recent Trends in Image Processing and Pattern Recognition

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Cover of 'Recent Trends in Image Processing and Pattern Recognition'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Complex and Composite Graphical Symbol Recognition and Retrieval: A Quick Review
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    Chapter 2 Word-Level Thirteen Official Indic Languages Database for Script Identification in Multi-script Documents
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    Chapter 3 Skew Detection and Correction of Devanagari Script Using Interval Halving Method
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    Chapter 4 Eigen Value Based Features for Offline Handwritten Signature Verification Using Neural Network Approach
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    Chapter 5 An Approach for Logo Detection and Retrieval in Documents
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    Chapter 6 Spotting Symbol over Graphical Documents Via Sparsity in Visual Vocabulary
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    Chapter 7 Word Retrieval from Kannada Document Images Using HOG and Morphological Features
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    Chapter 8 Hand-Drawn Symbol Recognition in Immersive Virtual Reality Using Deep Extreme Learning Machines
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    Chapter 9 Comparative Study of Handwritten Marathi Characters Recognition Based on KNN and SVM Classifier
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    Chapter 10 Recognition of Handwritten Devanagari Numerals by Graph Representation and Lipschitz Embedding
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    Chapter 11 Unlocking Textual Content from Historical Maps - Potentials and Applications, Trends, and Outlooks
  13. Altmetric Badge
    Chapter 12 Document Image Analysis for a Major Indic Script Bangla - Advancement and Scope
  14. Altmetric Badge
    Chapter 13 Combination of Feature Selection Methods for the Effective Classification of Microarray Gene Expression Data
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    Chapter 14 Pattern Recognition Based on Hierarchical Description of Decision Rules Using Choquet Integral
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    Chapter 15 Classification of Summarized Sensor Data Using Sampling and Clustering: A Performance Analysis
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    Chapter 16 Feature Reduced Weighted Fuzzy Binarization for Histogram Comparison of Promoter Sequences
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    Chapter 17 A Fast k-Nearest Neighbor Classifier Using Unsupervised Clustering
  19. Altmetric Badge
    Chapter 18 DSS for Prognostication of Academic Intervention by Applying DM Technique
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    Chapter 19 Cluster Based Symbolic Representation for Skewed Text Categorization
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    Chapter 20 Semi-supervised Text Categorization Using Recursive K-means Clustering
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    Chapter 21 Class Specific Feature Selection for Interval Valued Data Through Interval K-Means Clustering
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    Chapter 22 Performance Analysis of Impulse Noise Attenuation Techniques
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    Chapter 23 Neuro-Fuzzy Approach for Speckle Noise Reduction in SAR Images
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    Chapter 24 A Hybrid Approach for Hyper Spectral Image Segmentation Using SMLR and PSO Optimization
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    Chapter 25 An Integrated Framework to Image Retrieval Using L*a*b Color Space and Local Binary Pattern
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    Chapter 26 Texture Classification Using Deep Neural Network Based on Rotation Invariant Weber Local Descriptor
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    Chapter 27 Industrial Applications of Colour Texture Classification Based on Anisotropic Diffusion
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    Chapter 28 Shot-Based Keyframe Extraction Using Bitwise-XOR Dissimilarity Approach
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    Chapter 29 Automatic Compound Figure Separation in Scientific Articles: A Study of Edge Map and Its Role for Stitched Panel Boundary Detection
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    Chapter 30 Automated Chest X-ray Image View Classification using Force Histogram
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    Chapter 31 An Automatic Computerized Model for Cancerous Lung Nodule Detection from Computed Tomography Images with Reduced False Positives
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    Chapter 32 Synthesis of a Neural Network Classifier for Hepatocellular Carcinoma Grading Based on Triphasic CT Images
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    Chapter 33 A Comprehensive Method for Assessing the Blepharospasm Cases Severity
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    Chapter 34 Identification and Classification of Fruit Diseases
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    Chapter 35 Circular Foreign Object Detection in Chest X-ray Images
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    Chapter 36 FaceMatch: Real-World Face Image Retrieval
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    Chapter 37 Evaluation of Texture Features for Biometric Verification System Using Handvein and Finger Knuckleprint
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    Chapter 38 Face Sketch Matching Using Speed up Robust Feature Descriptor
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    Chapter 39 Enhanced Gray Scale Skeletonization of Fingerprint Ridges Using Parallel Algorithm
Attention for Chapter 19: Cluster Based Symbolic Representation for Skewed Text Categorization
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

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8 X users
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2 Facebook pages

Citations

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2 Dimensions

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3 Mendeley
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Chapter title
Cluster Based Symbolic Representation for Skewed Text Categorization
Chapter number 19
Book title
Recent Trends in Image Processing and Pattern Recognition
Published in
arXiv, June 2017
DOI 10.1007/978-981-10-4859-3_19
Book ISBNs
978-9-81-104858-6, 978-9-81-104859-3
Authors

Lavanya Narayana Raju, Mahamad Suhil, D S Guru, Harsha S Gowda, D. S. Guru, Harsha S. Gowda, Raju, Lavanya Narayana, Suhil, Mahamad, Guru, D. S., Gowda, Harsha S.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 33%
Researcher 1 33%
Student > Master 1 33%
Readers by discipline Count As %
Computer Science 3 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 27 June 2017.
All research outputs
#7,531,972
of 22,982,639 outputs
Outputs from arXiv
#169,394
of 943,185 outputs
Outputs of similar age
#120,410
of 315,940 outputs
Outputs of similar age from arXiv
#3,680
of 18,895 outputs
Altmetric has tracked 22,982,639 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 943,185 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 80% of its peers.
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 315,940 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 18,895 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.