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Artificial Neural Networks and Machine Learning – ICANN 2011

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Table of Contents

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    Book Overview
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    Chapter 1 Transformation Equivariant Boltzmann Machines
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    Chapter 2 Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines
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    Chapter 3 A Hierarchical Generative Model of Recurrent Object-Based Attention in the Visual Cortex
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    Chapter 4 ℓ1-Penalized Linear Mixed-Effects Models for BCI
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    Chapter 5 Slow Feature Analysis - A Tool for Extraction of Discriminating Event-Related Potentials in Brain-Computer Interfaces
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    Chapter 6 Transforming Auto-Encoders
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    Chapter 7 Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction
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    Chapter 8 Error-Backpropagation in Networks of Fractionally Predictive Spiking Neurons
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    Chapter 9 ESN Intrinsic Plasticity versus Reservoir Stability
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    Chapter 10 Adaptive Routing Strategies for Large Scale Spiking Neural Network Hardware Implementations
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    Chapter 11 Self-Organizing Map for the Multi-Goal Path Planning with Polygonal Goals
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    Chapter 12 Unlearning in the BCM Learning Rule for Plastic Self-organization in a Multi-modal Architecture
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    Chapter 13 Neuronal Projections Can Be Sharpened by a Biologically Plausible Learning Mechanism
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    Chapter 14 Explicit Class Structure by Weighted Cooperative Learning
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    Chapter 15 Unsupervized Data-Driven Partitioning of Multiclass Problems
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    Chapter 16 Bounds for Approximate Solutions of Fredholm Integral Equations Using Kernel Networks
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    Chapter 17 An Improved Training Algorithm for the Linear Ranking Support Vector Machine
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    Chapter 18 Extending Tree Kernels with Topological Information
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    Chapter 19 Accelerating Kernel Neural Gas
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    Chapter 20 State Prediction: A Constructive Method to Program Recurrent Neural Networks
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    Chapter 21 Cluster Self-organization of Known and Unknown Environmental Sounds Using Recurrent Neural Network
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    Chapter 22 Time-Dependent Series Variance Estimation via Recurrent Neural Networks
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    Chapter 23 Historical Consistent Complex Valued Recurrent Neural Network
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    Chapter 24 Sparse Spatio-temporal Gaussian Processes with General Likelihoods
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    Chapter 25 Learning Curves for Gaussian Processes via Numerical Cubature Integration
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    Chapter 26 Cross-Species Translation of Multi-way Biomarkers
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    Chapter 27 An Evaluation of the Image Recognition Method Using Pulse Coupled Neural Network
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    Chapter 28 Using the Leader Algorithm with Support Vector Machines for Large Data Sets
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    Chapter 29 Automatic Seizure Detection Incorporating Structural Information
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    Chapter 30 The Grouped Author-Topic Model for Unsupervised Entity Resolution
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    Chapter 31 Kullback-Leibler Divergence for Nonnegative Matrix Factorization
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    Chapter 32 Distributed Deterministic Temporal Information Propagated by Feedforward Neural Networks
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    Chapter 33 Chaotic Complex-Valued Multidirectional Associative Memory with Variable Scaling Factor
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    Chapter 34 Predicting Reaction Times in Word Recognition by Unsupervised Learning of Morphology
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    Chapter 35 An Examination of the Dynamic Interaction within Metaphor Understanding Using a Model Simulation
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    Chapter 36 Visual Pathways for Shape Abstraction
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    Chapter 37 Improving Articulatory Feature and Phoneme Recognition Using Multitask Learning
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    Chapter 38 OrBEAGLE: Integrating Orthography into a Holographic Model of the Lexicon
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    Chapter 39 On the Problem of Finding the Least Number of Features by L1-Norm Minimisation
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    Chapter 40 Extracting Coactivated Features from Multiple Data Sets
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    Chapter 41 Single Layer Complex Valued Neural Network with Entropic Cost Function
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    Chapter 42 Batch Intrinsic Plasticity for Extreme Learning Machines
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    Chapter 43 An Empirical Study on the Performance of Spectral Manifold Learning Techniques
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    Chapter 44 Semi-supervised Learning for WLAN Positioning
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    Chapter 45 Ensemble-Teacher Learning through a Perceptron Rule with a Margin
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    Chapter 46 Topic-Dependent Document Ranking: Citation Network Analysis by Analogy to Memory Retrieval in the Brain
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    Chapter 47 PADDLE: Proximal Algorithm for Dual Dictionaries LEarning
Attention for Chapter 7: Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction
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Chapter title
Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction
Chapter number 7
Book title
Artificial Neural Networks and Machine Learning – ICANN 2011
Published by
Springer, Berlin, Heidelberg, June 2011
DOI 10.1007/978-3-642-21735-7_7
Book ISBNs
978-3-64-221734-0, 978-3-64-221735-7

Jonathan Masci, Ueli Meier, Dan Cireşan, Jürgen Schmidhuber

Mendeley readers

The data shown below were compiled from readership statistics for 1,354 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 <1%
Germany 4 <1%
Japan 4 <1%
United Kingdom 4 <1%
Canada 4 <1%
Singapore 3 <1%
China 3 <1%
France 3 <1%
Colombia 2 <1%
Other 19 1%
Unknown 1297 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 384 28%
Student > Master 258 19%
Researcher 159 12%
Student > Bachelor 93 7%
Student > Doctoral Student 61 5%
Other 151 11%
Unknown 248 18%
Readers by discipline Count As %
Computer Science 625 46%
Engineering 246 18%
Agricultural and Biological Sciences 24 2%
Mathematics 22 2%
Physics and Astronomy 19 1%
Other 112 8%
Unknown 306 23%