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Advances in Knowledge Discovery and Data Mining

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Joint Classification with Heterogeneous Labels Using Random Walk with Dynamic Label Propagation
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    Chapter 2 Hybrid Sampling with Bagging for Class Imbalance Learning
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    Chapter 3 Sparse Adaptive Multi-hyperplane Machine
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    Chapter 4 Exploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior
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    Chapter 5 Optimal Training and Efficient Model Selection for Parameterized Large Margin Learning
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    Chapter 6 Locally Weighted Ensemble Learning for Regression
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    Chapter 7 Reliable Confidence Predictions Using Conformal Prediction
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    Chapter 8 Grade Prediction with Course and Student Specific Models
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    Chapter 9 Flexible Transfer Learning Framework for Bayesian Optimisation
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    Chapter 10 A Simple Unlearning Framework for Online Learning Under Concept Drifts
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    Chapter 11 User-Guided Large Attributed Graph Clustering with Multiple Sparse Annotations
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    Chapter 12 Early-Stage Event Prediction for Longitudinal Data
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    Chapter 13 Toxicity Prediction in Cancer Using Multiple Instance Learning in a Multi-task Framework
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    Chapter 14 Shot Boundary Detection Using Multi-instance Incremental and Decremental One-Class Support Vector Machine
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    Chapter 15 Will I Win Your Favor? Predicting the Success of Altruistic Requests
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    Chapter 16 Unsupervised and Semi-supervised Dimensionality Reduction with Self-Organizing Incremental Neural Network and Graph Similarity Constraints
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    Chapter 17 Cross-View Feature Hashing for Image Retrieval
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    Chapter 18 Towards Automatic Generation of Metafeatures
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    Chapter 19 Hash Learning with Convolutional Neural Networks for Semantic Based Image Retrieval
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    Chapter 20 Bayesian Group Feature Selection for Support Vector Learning Machines
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    Chapter 21 Active Distance-Based Clustering Using K-Medoids
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    Chapter 22 Analyzing Similarities of Datasets Using a Pattern Set Kernel
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    Chapter 23 Significant Pattern Mining with Confounding Variables
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    Chapter 24 Building Compact Lexicons for Cross-Domain SMT by Mining Near-Optimal Pattern Sets
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    Chapter 25 Forest CERN: A New Decision Forest Building Technique
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    Chapter 26 Sparse Logistic Regression with Logical Features
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    Chapter 27 A Nonlinear Label Compression and Transformation Method for Multi-label Classification Using Autoencoders
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    Chapter 28 Preconditioning an Artificial Neural Network Using Naive Bayes
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    Chapter 29 OCEAN: Fast Discovery of High Utility Occupancy Itemsets
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    Chapter 30 Leveraging Emotional Consistency for Semi-supervised Sentiment Classification
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    Chapter 31 The Effect on Accuracy of Tweet Sample Size for Hashtag Segmentation Dictionary Construction
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    Chapter 32 Social Identity Link Across Incomplete Social Information Sources Using Anchor Link Expansion
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    Chapter 33 Discovering the Network Backbone from Traffic Activity Data
  35. Altmetric Badge
    Chapter 34 A Fast and Complete Enumeration of Pseudo-Cliques for Large Graphs
  36. Altmetric Badge
    Chapter 35 Incorporating Heterogeneous Information for Mashup Discovery with Consistent Regularization
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    Chapter 36 Link Prediction in Schema-Rich Heterogeneous Information Network
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    Chapter 37 FastStep: Scalable Boolean Matrix Decomposition
  39. Altmetric Badge
    Chapter 38 An Expert-in-the-loop Paradigm for Learning Medical Image Grouping
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    Chapter 39 Predicting Post-operative Visual Acuity for LASIK Surgeries
  41. Altmetric Badge
    Chapter 40 LBMF: Log-Bilinear Matrix Factorization for Recommender Systems
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    Chapter 41 An Empirical Study on Hybrid Recommender System with Implicit Feedback
  43. Altmetric Badge
    Chapter 42 Who Will Be Affected by Supermarket Health Programs? Tracking Customer Behavior Changes via Preference Modeling
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    Chapter 43 TrafficWatch: Real-Time Traffic Incident Detection and Monitoring Using Social Media
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    Chapter 44 Automated Setting of Bus Schedule Coverage Using Unsupervised Machine Learning
  46. Altmetric Badge
    Chapter 45 Effective Local Metric Learning for Water Pipe Assessment
  47. Altmetric Badge
    Chapter 46 Classification with Quantification for Air Quality Monitoring
  48. Altmetric Badge
    Chapter 47 Predicting Unknown Interactions Between Known Drugs and Targets via Matrix Completion
Attention for Chapter 19: Hash Learning with Convolutional Neural Networks for Semantic Based Image Retrieval
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
8 Mendeley
Summary Patents 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
Hash Learning with Convolutional Neural Networks for Semantic Based Image Retrieval
Chapter number 19
Book title
Advances in Knowledge Discovery and Data Mining
Published in
Lecture notes in computer science, April 2016
DOI 10.1007/978-3-319-31753-3_19
Book ISBNs
978-3-31-931752-6, 978-3-31-931753-3
Authors

Jinma Guo, Shifeng Zhang, Jianmin Li, Guo, Jinma, Zhang, Shifeng, Li, Jianmin

Editors

James Bailey, Latifur Khan, Takashi Washio, Gill Dobbie, Joshua Zhexue Huang, Ruili Wang

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 38%
Researcher 2 25%
Student > Doctoral Student 1 13%
Student > Master 1 13%
Unknown 1 13%
Readers by discipline Count As %
Computer Science 6 75%
Unknown 2 25%
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 21 November 2023.
All research outputs
#8,344,541
of 24,946,857 outputs
Outputs from Lecture notes in computer science
#2,528
of 8,152 outputs
Outputs of similar age
#111,532
of 307,076 outputs
Outputs of similar age from Lecture notes in computer science
#39
of 140 outputs
Altmetric has tracked 24,946,857 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,152 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 53% 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 307,076 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 140 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 62% of its contemporaries.

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