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Artificial Neural Networks – ICANN 2010

Overview of attention for book
Cover of 'Artificial Neural Networks – ICANN 2010'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Deep Bottleneck Classifiers in Supervised Dimension Reduction
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    Chapter 2 Local Modeling Classifier for Microarray Gene-Expression Data
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    Chapter 3 Learning of Lateral Connections for Representational Invariant Recognition
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    Chapter 4 Computational Properties of Probabilistic Neural Networks
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    Chapter 5 Local Minima of a Quadratic Binary Functional with a Quasi-Hebbian Connection Matrix
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    Chapter 6 A Learned Saliency Predictor for Dynamic Natural Scenes
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    Chapter 7 Learning a Combination of Heterogeneous Dissimilarities from Incomplete Knowledge
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    Chapter 8 A Bilinear Model for Consistent Topographic Representations
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    Chapter 9 Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors
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    Chapter 10 Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition
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    Chapter 11 Visual Shape Recognition Neural Network Using BESOM Model
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    Chapter 12 Comparing Feature Extraction Techniques and Classifiers in the Handwritten Letters Classification Problem
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    Chapter 13 The Parameter Optimization of the Pulse Coupled Neural Network for the Pattern Recognition
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    Chapter 14 The Use of Feed Forward Neural Network for Recognizing Characters of Dactyl Alphabet
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    Chapter 15 Detecting DDoS Attack towards DNS Server Using a Neural Network Classifier
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    Chapter 16 Classification Based on Multiple-Resolution Data View
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    Chapter 17 Identification of the Head-and-Shoulders Technical Analysis Pattern with Neural Networks
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    Chapter 18 Analyzing Classification Methods in Multi-label Tasks
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    Chapter 19 Learning Bimanual Coordination Patterns for Rhythmic Movements
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    Chapter 20 Classification of Voice Aging Using Parameters Extracted from the Glottal Signal
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    Chapter 21 TopoART: A Topology Learning Hierarchical ART Network
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    Chapter 22 Policy Gradients for Cryptanalysis
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    Chapter 23 Linear Projection Method Based on Information Theoretic Learning
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    Chapter 24 Continuous Visual Codebooks with a Limited Branching Tree Growing Neural Gas
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    Chapter 25 An Efficient Collaborative Recommender System Based on k -Separability
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    Chapter 26 Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines
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    Chapter 27 Multitask Semi–supervised Learning with Constraints and Constraint Exceptions
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    Chapter 28 Tumble Tree – Reducing Complexity of the Growing Cells Approach
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    Chapter 29 Sentence Extraction by Graph Neural Networks
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    Chapter 30 Autonomous Generation of Internal Representations for Associative Learning
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    Chapter 31 Improving Accuracy of LVQ Algorithm by Instance Weighting
  33. Altmetric Badge
    Chapter 32 Multifactor Expectation Maximization for Factor Graphs
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    Chapter 33 Weighted Learning Vector Quantization to Cost-Sensitive Learning
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    Chapter 34 Solution Space of Perceptron
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    Chapter 35 Natural Language Processing Neural Network for Recall and Inference
  37. Altmetric Badge
    Chapter 36 Nominally Conditioned Linear Regression
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    Chapter 37 A Novel Continuous Dual Mode Neural Network in Stereo-Matching Process
  39. Altmetric Badge
    Chapter 38 Learning Invariant Visual Shape Representations from Physics
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    Chapter 39 Algorithms Creating Algorithms
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    Chapter 40 Assessing Statistical Reliability of LiNGAM via Multiscale Bootstrap
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    Chapter 41 Learning with Convex Constraints
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    Chapter 42 Theoretical Analysis of Cross-Validation(CV)-EM Algorithm
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    Chapter 43 Application of BSP-Based Computational Cost Model to Predict Parallelization Efficiency of MLP Training Algorithm
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    Chapter 44 Dynamic Shape Learning and Forgetting
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    Chapter 45 On-Line Ensemble-Teacher Learning through a Perceptron Rule with a Margin
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    Chapter 46 Model of the Hippocampal Learning of Spatio-temporal Sequences
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    Chapter 47 Adding Nonlinear System Dynamics to Levenberg-Marquardt Algorithm for Neural Network Control
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    Chapter 48 Some Comparisons of Model Complexity in Linear and Neural-Network Approximation
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    Chapter 49 A Funny Proverb Generation System Based on Sukashi
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    Chapter 50 Supervised Neural Fuzzy Schemes in Video Transmission over Bluetooth
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    Chapter 51 A Graph Based Framework for Clustering and Characterization of SOM
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    Chapter 52 Clustering Using Elements of Information Theory
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    Chapter 53 A Path Planning Method for Human Tracking Agents Using Variable-Term Prediction
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    Chapter 54 Three-Layer Feedforward Structures Smoothly Approximating Polynomial Functions
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    Chapter 55 Neural Networks Training for Weapon Selection in First-Person Shooter Games
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    Chapter 56 Efficient Confidence Bounds for RBF Networks for Sparse and High Dimensional Data
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    Chapter 57 Large Scale Problem Solving with Neural Networks: The Netflix Prize Case
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    Chapter 58 A Cooperative and Penalized Competitive Learning Approach to Gaussian Mixture Clustering
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    Chapter 59 A Inference Mechanism for Polymer Processing Using Rough-Neuro Fuzzy Network
  61. Altmetric Badge
    Chapter 60 Data Mining Methods for Quality Assurance in an Environmental Monitoring Network
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    Chapter 61 Predicting QoL Parameters for the Atmospheric Environment in Athens, Greece
  63. Altmetric Badge
    Chapter 62 Investigating Pollen Data with the Aid of Fuzzy Methods
  64. Altmetric Badge
    Chapter 63 A New Neural Model for Traffic Simulation
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    Chapter 64 System Architecture for a Smart University Building
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    Chapter 65 Monitoring and Assessment of Environmental Impact by Persistent Organic Pollutants
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    Chapter 66 A Feature Selection Method for Air Quality Forecasting
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    Chapter 67 How Do Attention, Intention, and Consciousness Interact?
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    Chapter 68 Consciousness versus Attention
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    Chapter 69 On the Fringe of Awareness: The Glance-Look Model of Attention-Emotion Interactions
  71. Altmetric Badge
    Chapter 70 No Stopping and No Slowing: Removing Visual Attention with No Effect on Reversals of Phenomenal Appearance
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    Chapter 71 Modelling Neurotic Psychopathology: Memory, Attention and Symbolization
  73. Altmetric Badge
    Chapter 72 How to Use the SOINN Software: User’s Guide (Version 1.0)
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    Chapter 73 Unguided Robot Navigation Using Continuous Action Space
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    Chapter 74 Self-Organizing Incremental Neural Network and Its Application
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    Chapter 75 Machine Learning Approaches for Time-Series Data Based on Self-Organizing Incremental Neural Network
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    Chapter 76 Online Knowledge Acquisition and General Problem Solving in a Real World by Humanoid Robots
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    Chapter 77 Incremental Learning Using Self-Organizing Neural Grove
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    Chapter 78 Fast and Incremental Attribute Transferring and Classifying System for Detecting Unseen Object Classes
Attention for Chapter 72: How to Use the SOINN Software: User’s Guide (Version 1.0)
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Chapter title
How to Use the SOINN Software: User’s Guide (Version 1.0)
Chapter number 72
Book title
Artificial Neural Networks – ICANN 2010
Published in
Lecture notes in computer science, September 2010
DOI 10.1007/978-3-642-15825-4_72
Book ISBNs
978-3-64-215824-7, 978-3-64-215825-4
Authors

Kazuhiro Yamasaki, Naoya Makibuchi, Furao Shen, Osamu Hasegawa, Yamasaki, Kazuhiro, Makibuchi, Naoya, Shen, Furao, Hasegawa, Osamu

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 9%
Germany 1 9%
Unknown 9 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 27%
Other 2 18%
Student > Master 2 18%
Student > Bachelor 1 9%
Student > Doctoral Student 1 9%
Other 1 9%
Unknown 1 9%
Readers by discipline Count As %
Computer Science 8 73%
Engineering 2 18%
Unknown 1 9%
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 25 September 2014.
All research outputs
#15,306,466
of 22,764,165 outputs
Outputs from Lecture notes in computer science
#4,648
of 8,125 outputs
Outputs of similar age
#77,112
of 95,665 outputs
Outputs of similar age from Lecture notes in computer science
#30
of 54 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,125 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% 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 95,665 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.

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