Proceedings of ELM-2015 Volume 1

Table of Contents

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   Book Overview
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   Chapter 1 Extreme Learning Machine for Multi-class Sentiment Classification of Tweets
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   Chapter 2 Efficient Batch Parallel Online Sequential Extreme Learning Machine Algorithm Based on MapReduce
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   Chapter 3 Fixed-Point Evaluation of Extreme Learning Machine for Classification
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   Chapter 4 Multi-layer Online Sequential Extreme Learning Machine for Image Classification
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   Chapter 5 ELM Meets Urban Computing: Ensemble Urban Data for Smart City Application
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   Chapter 6 Local and Global Unsupervised Kernel Extreme Learning Machine and Its Application in Nonlinear Process Fault Detection
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   Chapter 7 Parallel Multi-graph Classification Using Extreme Learning Machine and MapReduce
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   Chapter 8 Extreme Learning Machine for Large-Scale Graph Classification Based on MapReduce
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    Chapter 9 The Distance-Based Representative Skyline Calculation Using Unsupervised Extreme Learning Machines
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    Chapter 10 Multi-label Text Categorization Using $$L_{21}$$ L 21 -norm Minimization Extreme Learning Machine
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    Chapter 11 Cluster-Based Outlier Detection Using Unsupervised Extreme Learning Machines
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    Chapter 12 Segmentation of the Left Ventricle in Cardiac MRI Using an ELM Model
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    Chapter 13 Channel Estimation Based on Extreme Learning Machine for High Speed Environments
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    Chapter 14 MIMO Modeling Based on Extreme Learning Machine
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    Chapter 15 Graph Classification Based on Sparse Graph Feature Selection and Extreme Learning Machine
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    Chapter 16 Time Series Prediction Based on Online Sequential Improved Error Minimized Extreme Learning Machine
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    Chapter 17 Adaptive Input Shaping for Flexible Systems Using an Extreme Learning Machine Algorithm Identification
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    Chapter 18 Kernel Based Semi-supervised Extreme Learning Machine and the Application in Traffic Congestion Evaluation
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    Chapter 19 Improvement of ELM Algorithm for Multi-object Identification in Gesture Interaction
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    Chapter 20 SVM and ELM: Who Wins? Object Recognition with Deep Convolutional Features from ImageNet
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    Chapter 21 Learning with Similarity Functions: A Novel Design for the Extreme Learning Machine
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    Chapter 22 A Semi-supervised Low Rank Kernel Learning Algorithm via Extreme Learning Machine
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    Chapter 23 Application of Extreme Learning Machine on Large Scale Traffic Congestion Prediction
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    Chapter 24 Extreme Learning Machine-Guided Collaborative Coding for Remote Sensing Image Classification
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    Chapter 25 Distributed Weighted Extreme Learning Machine for Big Imbalanced Data Learning
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    Chapter 26 NMR Image Segmentation Based on Unsupervised Extreme Learning Machine
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    Chapter 27 Annotating Location Semantic Tags in LBSN Using Extreme Learning Machine
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    Chapter 28 Feature Extraction of Motor Imagery EEG Based on Extreme Learning Machine Auto-encoder
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    Chapter 29 Multimodal Fusion Using Kernel-Based ELM for Video Emotion Recognition
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    Chapter 30 Equality Constrained-Optimization-Based Semi-supervised ELM for Modeling Signal Strength Temporal Variation in Indoor Location Estimation
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    Chapter 31 Extreme Learning Machine with Gaussian Kernel Based Relevance Feedback Scheme for Image Retrieval
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    Chapter 32 Routing Tree Maintenance Based on Trajectory Prediction in Mobile Sensor Networks
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    Chapter 33 Two-Stage Hybrid Extreme Learning Machine for Sequential Imbalanced Data
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    Chapter 34 Feature Selection and Modelling of a Steam Turbine from a Combined Heat and Power Plant Using ELM
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    Chapter 35 On the Construction of Extreme Learning Machine for One Class Classifier
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    Chapter 36 Record Linkage for Event Identification in XML Feeds Stream Using ELM
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    Chapter 37 Timeliness Online Regularized Extreme Learning Machine
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    Chapter 38 An Efficient High-Dimensional Big Data Storage Structure Based on US-ELM
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    Chapter 39 An Enhanced Extreme Learning Machine for Efficient Small Sample Classification
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    Chapter 40 Code Generation Technology of Digital Satellite
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    Chapter 41 Class-Constrained Extreme Learning Machine