Proceedings of ELM-2015 Volume 1 (eBook, PDF)

Theory, Algorithms and Applications (I)

• Format: PDF

Produktbeschreibung

This book contains some selected papers from the International Conference on Extreme Learning Machine 2015, which was held in Hangzhou, China, December 15-17, 2015. This conference brought together researchers and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the Extreme Learning Machine (ELM) technique and brain learning.

This book covers theories, algorithms ad applications of ELM. It gives readers a glance of the most recent advances of ELM.

Produktdetails

• Verlag: Springer International Publishing
• Erscheinungstermin: 31. Dezember 2015
• Englisch
• ISBN-13: 9783319283975
• Artikelnr.: 44485029

Inhaltsangabe

Efficient Batch Parallel Online Sequential Extreme Learning Machine Algorithm Based on MapReduce.- Fixed-Point Evaluation of Extreme Learning Machine for Classification.- Multi-Layer Online Sequential Extreme Learning Machine for Image Classification.- ELM Meets Urban Computing: Ensemble Urban Data For Smart City Applications.- Local and Global Unsupervised Kernel Extreme Learning Machine and Its Application in Nonlinear Process Fault Detection.- Parallel Multi-Graph Classification Using Extreme Learning Machine and MapReduce.- Extreme Learning Machine for Large-Scale Graph Classification Based on MapReduce.- The Distance-based Representative Skyline Calculation using Unsupervised Extreme Learning Machines.- Multi-label Text Categorization Using L₂₁-NormMinimization Extreme Learning Machine.- Cluster-based Outlier Detection Using Unsupervised Extreme Learning Machines.- Segmentation of the Left Ventriclein Cardiac MRI Using an ELM Model.- Channel Estimation Based on Extreme Learning Machine for High Speed Environments.- MIMO Modeling Based on Extreme Learning Machine.- Graph Classification based on Sparse Graph Feature Selection and Extreme Learning Machine.- Time Series Prediction Based on Online Sequential Improved Error Minimized Extreme Learning Machine.- Adaptive Input Shaping for Flexible Systems using an Extreme Learning Machine Algorithm Identification.- Kernel Based Semi-supervised Extreme Learning Machine and the Application in Traffic Congestion Evaluation.- Improvement of ELM Algorithm for Multi-Object Identification in Gesture Interaction.- SVM and ELM: Who Wins? Object Recognition with Deep Convolutional Features from ImageNet.- Learning with Similarity Functions: a Novel Design for the Extreme Learning Machine.- A Semi-Supervised Low Rank Kernel Learning Algorithm via Extreme Learning Machine.- Application of Extreme Learning Machine on Large Scale Traffic Congestion Prediction.- Extreme Learning Machine-Guided Collaborative Coding for Remote Sensing Image Classification.- Distributed Weighted Extreme Learning Machine for Big Imbalanced Data Learning.- NMR Image Segmentation based on Unsupervised Extreme Learning Machine.- Annotating Location Semantic Tags in LBSN Using Extreme Learning Machine.- Feature Extraction of Motor Imagery EEG based on Extreme Learning Machine Auto-Encoder.- Multimodal Fusion using Kernel-based ELM for Video Emotion Recognition.- Equality Constrained-Optimization-Based Semi-Supervised ELM for Modeling.- Signal Strength Temporal Variation in Indoor Location Estimation Extreme Learning Machine with Gaussian Kernel Based Relevance Feedback Scheme for Image Retrieval.- Routing Tree Maintenance based on Trajectory Prediction in Mobile Sensor Networks.- Two-Stage Hybrid Extreme Learning Machine for Sequential Imbalanced Data.- Feature Selection and Modelling of a Steam Turbine from a Combined Heat and Power Plant Using ELM.- On The Construction of Extreme Learning Machine for One Class Classifier.- Record Linkage for Event Identification in XML Feeds Stream Using ELM.- Timeliness Online Regularized Extreme Learning Machine.- An Efficient High-dimensional Big Data Storage Structure Based on US-ELM.- An Enhanced Extreme Learning Machine for Efficient Small Sample Classification.- Code Generation Technology of Digital Satellite.- ELM-based Velocity Inversion for Sandstone Reservoir in Yanqi Gas-Field.- Class-Constrained Extreme Learning Machine.

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Efficient BatchParallel Online Sequential Extreme Learning Machine Algorithm Based on MapReduce.- Fixed-PointEvaluation of Extreme LearningMachine for Classification.- Multi-Layer OnlineSequential Extreme Learning Machine for Image Classification.- ELM Meets UrbanComputing: Ensemble Urban Data For Smart City Applications.- Local and GlobalUnsupervised Kernel Extreme Learning Machine and Its Application in NonlinearProcess Fault Detection.- Parallel Multi-GraphClassification Using Extreme Learning Machine and MapReduce.- Extreme LearningMachine for Large-Scale Graph Classification Based on MapReduce.- The Distance-basedRepresentative Skyline Calculation using Unsupervised Extreme Learning Machines.- Multi-label Text Categorization Using L₂₁-NormMinimizationExtreme Learning Machine.- Cluster-based Outlier Detection Using Unsupervised Extreme Learning Machines.- Segmentation of the LeftVentriclein Cardiac MRI Using an ELM Model.- Channel EstimationBased on Extreme Learning Machine for High Speed Environments.- MIMO Modeling Basedon Extreme Learning Machine.- Graph Classificationbased on Sparse Graph Feature Selection and Extreme Learning Machine.- Time SeriesPrediction Based on Online Sequential Improved Error Minimized Extreme Learning Machine.- Adaptive Input Shaping for Flexible Systemsusing an Extreme Learning Machine Algorithm Identification.- Kernel BasedSemi-supervised Extreme Learning Machine and the Application in TrafficCongestion Evaluation.- Improvement of ELMAlgorithm for Multi-Object Identification in Gesture Interaction.- SVM and ELM: WhoWins? Object Recognition withDeep Convolutional Features from ImageNet.- Learning withSimilarity Functions: a Novel Design for the Extreme Learning Machine.- A Semi-SupervisedLow Rank Kernel Learning Algorithm via Extreme Learning Machine.- Application ofExtreme Learning Machine on Large Scale Traffic Congestion Prediction.- Extreme LearningMachine-Guided Collaborative Coding for Remote Sensing Image Classification.- Distributed WeightedExtreme Learning Machine for Big Imbalanced Data Learning.- NMR ImageSegmentation based on Unsupervised Extreme Learning Machine.- Annotating LocationSemantic Tags in LBSN Using Extreme Learning Machine.- Feature Extractionof Motor Imagery EEG based on Extreme Learning Machine Auto-Encoder.- Multimodal Fusionusing Kernel-based ELM for Video Emotion Recognition.- EqualityConstrained-Optimization-Based Semi-Supervised ELM for Modeling.- Signal Strength Temporal Variation in Indoor LocationEstimation Extreme LearningMachine with Gaussian Kernel Based Relevance Feedback Scheme for Image Retrieval.- Routing TreeMaintenance based on Trajectory Prediction in Mobile Sensor Networks.- Two-Stage HybridExtreme Learning Machine for Sequential Imbalanced Data.- Feature Selectionand Modelling of a Steam Turbine from a Combined Heat and Power Plant Using ELM.- On The Constructionof Extreme Learning Machine for One Class Classifier.- Record Linkage forEvent Identification in XML Feeds Stream Using ELM.- Timeliness OnlineRegularized Extreme Learning Machine.- An EfficientHigh-dimensional Big Data Storage Structure Based on US-ELM.- An Enhanced Extreme Learning Machine for Efficient Small SampleClassification.- Code Generation Technology of Digital Satellite.- ELM-based Velocity Inversion for Sandstone Reservoir in YanqiGas-Field.- Class-Constrained Extreme Learning Machine.