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Proceedings of ELM-2015 Volume 2

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Cover of 'Proceedings of ELM-2015 Volume 2'

Table of Contents

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    Book Overview
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    Chapter 1 Large-Scale Scene Recognition Based on Extreme Learning Machines
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    Chapter 2 Partially Connected ELM for Fast and Effective Scene Classification
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    Chapter 3 Two-Layer Extreme Learning Machine for Dimension Reduction
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    Chapter 4 Distributed Extreme Learning Machine with Alternating Direction Method of Multiplier
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    Chapter 5 An Adaptive Online Sequential Extreme Learning Machine for Real-Time Tidal Level Prediction
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    Chapter 6 Optimization of Outsourcing ELM Problems in Cloud Computing from Multi-parties
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    Chapter 7 H-MRST: A Novel Framework for Support Uncertain Data Range Query Using ELM
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    Chapter 8 The SVM-ELM Model Based on Particle Swarm Optimization
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    Chapter 9 ELM-ML: Study on Multi-label Classification Using Extreme Learning Machine
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    Chapter 10 Sentiment Analysis of Chinese Micro Blog Based on DNN and ELM and Vector Space Model
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    Chapter 11 Self Forward and Information Dissemination Prediction Research in SINA Microblog Using ELM
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    Chapter 12 Sparse Coding Extreme Learning Machine for Classification
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    Chapter 13 Continuous Top-K Remarkable Comments over Textual Streaming Data Using ELM
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    Chapter 14 ELM Based Representational Learning for Fault Diagnosis of Wind Turbine Equipment
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    Chapter 15 Prediction of Pulp Concentration Using Extreme Learning Machine
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    Chapter 16 Rational and Self-adaptive Evolutionary Extreme Learning Machine for Electricity Price Forecast
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    Chapter 17 Contractive ML-ELM for Invariance Robust Feature Extraction
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    Chapter 18 Automated Human Facial Expression Recognition Using Extreme Learning Machines
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    Chapter 19 Multi-modal Deep Extreme Learning Machine for Robotic Grasping Recognition
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    Chapter 20 Denoising Deep Extreme Learning Machines for Sparse Representation
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    Chapter 21 Extreme Learning Machine Based Point-of-Interest Recommendation in Location-Based Social Networks
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    Chapter 22 The Granule-Based Interval Forecast for Wind Speed
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    Chapter 23 KELMC: An Improved K-Means Clustering Method Using Extreme Learning Machine
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    Chapter 24 Wind Power Ramp Events Classification Using Extreme Learning Machines
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    Chapter 25 Facial Expression Recognition Based on Ensemble Extreme Learning Machine with Eye Movements Information
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    Chapter 26 Correlation Between Extreme Learning Machine and Entorhinal Hippocampal System
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    Chapter 27 RNA Secondary Structure Prediction Using Extreme Learning Machine with Clustering Under-Sampling Technique
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    Chapter 28 Multi-instance Multi-label Learning by Extreme Learning Machine
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    Chapter 29 A Randomly Weighted Gabor Network for Visual-Thermal Infrared Face Recognition
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    Chapter 30 Dynamic Adjustment of Hidden Layer Structure for Convex Incremental Extreme Learning Machine
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    Chapter 31 ELMVIS+: Improved Nonlinear Visualization Technique Using Cosine Distance and Extreme Learning Machines
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    Chapter 32 On Mutual Information over Non-Euclidean Spaces, Data Mining and Data Privacy Levels
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    Chapter 33 Probabilistic Methods for Multiclass Classification Problems
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    Chapter 34 A Pruning Ensemble Model of Extreme Learning Machine with L 1/2 Regularizer
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    Chapter 35 Evaluating Confidence Intervals for ELM Predictions
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    Chapter 36 Real-Time Driver Fatigue Detection Based on ELM
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    Chapter 37 Proceedings of ELM-2015 Volume 2
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    Chapter 38 Image Super-Resolution by PSOSEN of Local Receptive Fields Based Extreme Learning Machine
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    Chapter 39 Sparse Extreme Learning Machine for Regression
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    Chapter 40 WELM: Extreme Learning Machine with Wavelet Dynamic Co-Movement Analysis in High-Dimensional Time Series
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    Chapter 41 Imbalanced Extreme Learning Machine for Classification with Imbalanced Data Distributions
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Title
Proceedings of ELM-2015 Volume 2
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-28373-9
ISBNs
978-3-31-928372-2, 978-3-31-928373-9
Editors

Cao, Jiuwen, Mao, Kezhi, Wu, Jonathan, Lendasse, Amaury

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The data shown below were collected from the profiles of 6 X users 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 4%
Student > Master 2 3%
Professor 1 1%
Lecturer 1 1%
Student > Postgraduate 1 1%
Other 0 0%
Unknown 71 90%
Readers by discipline Count As %
Engineering 2 3%
Economics, Econometrics and Finance 2 3%
Computer Science 1 1%
Physics and Astronomy 1 1%
Psychology 1 1%
Other 0 0%
Unknown 72 91%