↓ Skip to main content

Similarity-Based Pattern Recognition

Overview of attention for book
Cover of 'Similarity-Based Pattern Recognition'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Pattern Learning and Recognition on Statistical Manifolds: An Information-Geometric Review
  3. Altmetric Badge
    Chapter 2 Dimension Reduction Methods for Image Pattern Recognition
  4. Altmetric Badge
    Chapter 3 Efficient Regression in Metric Spaces via Approximate Lipschitz Extension
  5. Altmetric Badge
    Chapter 4 Data Analysis of (Non-)Metric Proximities at Linear Costs
  6. Altmetric Badge
    Chapter 5 On the Informativeness of Asymmetric Dissimilarities
  7. Altmetric Badge
    Chapter 6 Information-Theoretic Dissimilarities for Graphs
  8. Altmetric Badge
    Chapter 7 Information Theoretic Pairwise Clustering
  9. Altmetric Badge
    Chapter 8 Correlation Clustering with Stochastic Labellings
  10. Altmetric Badge
    Chapter 9 Break and Conquer: Efficient Correlation Clustering for Image Segmentation
  11. Altmetric Badge
    Chapter 10 Multi-task Averaging via Task Clustering
  12. Altmetric Badge
    Chapter 11 Modeling and Detecting Community Hierarchies
  13. Altmetric Badge
    Chapter 12 Graph Characterization Using Gaussian Wave Packet Signature
  14. Altmetric Badge
    Chapter 13 Analysis of the Schrödinger Operator in the Context of Graph Characterization
  15. Altmetric Badge
    Chapter 14 Attributed Graph Similarity from the Quantum Jensen-Shannon Divergence
  16. Altmetric Badge
    Chapter 15 Entropy and Heterogeneity Measures for Directed Graphs
  17. Altmetric Badge
    Chapter 16 Fast Learning of Gamma Mixture Models with k -MLE
  18. Altmetric Badge
    Chapter 17 Exploiting Geometry in Counting Grids
  19. Altmetric Badge
    Chapter 18 On the Dissimilarity Representation and Prototype Selection for Signature-Based Bio-cryptographic Systems
  20. Altmetric Badge
    Chapter 19 A Repeated Local Search Algorithm for BiClustering of Gene Expression Data
Attention for Chapter 9: Break and Conquer: Efficient Correlation Clustering for Image Segmentation
Altmetric Badge

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
12 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Break and Conquer: Efficient Correlation Clustering for Image Segmentation
Chapter number 9
Book title
Similarity-Based Pattern Recognition
Published by
Springer, Berlin, Heidelberg, July 2013
DOI 10.1007/978-3-642-39140-8_9
Book ISBNs
978-3-64-239139-2, 978-3-64-239140-8
Authors

Amir Alush, Jacob Goldberger

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 25%
Student > Ph. D. Student 3 25%
Student > Bachelor 2 17%
Student > Master 1 8%
Professor > Associate Professor 1 8%
Other 0 0%
Unknown 2 17%
Readers by discipline Count As %
Computer Science 5 42%
Engineering 4 33%
Agricultural and Biological Sciences 1 8%
Unknown 2 17%