↓ Skip to main content
What is this page? Embed badge

Trends and Applications in Knowledge Discovery and Data Mining

Overview of attention for book
Cover of 'Trends and Applications in Knowledge Discovery and Data Mining'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Towards a New Evolutionary Subsampling Technique for Heuristic Optimisation of Load Disaggregators
  3. Altmetric Badge
    Chapter 2 Neural Choice by Elimination via Highway Networks
  4. Altmetric Badge
    Chapter 3 Attribute Selection and Classification of Prostate Cancer Gene Expression Data Using Artificial Neural Networks
  5. Altmetric Badge
    Chapter 4 An Improved Self-Structuring Neural Network
  6. Altmetric Badge
    Chapter 5 Imbalanced ELM Based on Normal Density Estimation for Binary-Class Classification
  7. Altmetric Badge
    Chapter 6 Multiple Seeds Based Evolutionary Algorithm for Mining Boolean Association Rules
  8. Altmetric Badge
    Chapter 7 Predicting Phone Usage Behaviors with Sensory Data Using a Hierarchical Generative Model
  9. Altmetric Badge
    Chapter 8 Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions
  10. Altmetric Badge
    Chapter 9 Rigidly Self-Expressive Sparse Subspace Clustering
  11. Altmetric Badge
    Chapter 10 Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors
  12. Altmetric Badge
    Chapter 11 Learning Multi-faceted Activities from Heterogeneous Data with the Product Space Hierarchical Dirichlet Processes
  13. Altmetric Badge
    Chapter 12 Phishing Detection on Twitter Streams
  14. Altmetric Badge
    Chapter 13 Image Segmentation with Superpixel Based Covariance Descriptor
  15. Altmetric Badge
    Chapter 14 Normalized Cross-Match: Pattern Discovery Algorithm from Biofeedback Signals
  16. Altmetric Badge
    Chapter 15 Event Prediction in Healthcare Analytics: Beyond Prediction Accuracy
  17. Altmetric Badge
    Chapter 16 Clinical Decision Support for Stroke Using Multi–view Learning Based Models for NIHSS Scores
  18. Altmetric Badge
    Chapter 17 A Music Recommendation System Based on Acoustic Features and User Personalities
  19. Altmetric Badge
    Chapter 18 A Social Spam Detection Framework via Semi-supervised Learning
  20. Altmetric Badge
    Chapter 19 A Hierarchical Beta Process Approach for Financial Time Series Trend Prediction
  21. Altmetric Badge
    Chapter 20 Efficient Iris Image Segmentation for ATM Based Approach Through Fuzzy Entropy and Graph Cut
  22. Altmetric Badge
    Chapter 21 Matching Product Offers of E-Shops
  23. Altmetric Badge
    Chapter 22 Keystroke Biometric Recognition on Chinese Long Text Input
  24. Altmetric Badge
    Chapter 23 Recommendation Algorithm Design in a Land Exchange Platform
  25. Altmetric Badge
    Chapter 24 Erratum to: Normalized Cross-Match: Pattern Discovery Algorithm from Biofeedback Signals
Attention for Chapter 8: Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
14 Mendeley
Summary X Dimensions citations
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
Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions
Chapter number 8
Book title
Trends and Applications in Knowledge Discovery and Data Mining
Published in
arXiv, February 2016
DOI 10.1007/978-3-319-42996-0_8
Book ISBNs
978-3-31-942995-3, 978-3-31-942996-0
Authors

Johanna Carvajal, Arnold Wiliem, Chris McCool, Brian Lovell, Conrad Sanderson

View on publisher site
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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 50%
Researcher 3 21%
Lecturer 2 14%
Student > Master 1 7%
Student > Postgraduate 1 7%
Other 0 0%
Readers by discipline Count As %
Computer Science 8 57%
Engineering 4 29%
Agricultural and Biological Sciences 1 7%
Unknown 1 7%
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 05 October 2016.
All research outputs
#20,303,950
of 22,842,950 outputs
Outputs from arXiv
#670,992
of 937,741 outputs
Outputs of similar age
#333,862
of 397,006 outputs
Outputs of similar age from arXiv
#9,584
of 14,623 outputs
Altmetric has tracked 22,842,950 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 937,741 research outputs from this source. They receive a mean Attention Score of 3.9. 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 397,006 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 14,623 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.

This page is provided by Altmetric.