Proceedings of ELM-2015 Volume 1 (eBook)

Theory, Algorithms and Applications (I)

Jiuwen Cao, Kezhi Mao, Jonathan Wu, Amaury Lendasse (Herausgeber)

eBook Download: PDF

2015 | 1st ed. 2016
IX, 532 Seiten
Springer International Publishing (Verlag)
978-3-319-28397-5 (ISBN)

Infos

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. 

Inhalt

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
Ventricle in 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.

 

 

Produkt-Details

• Erscheint lt. Verlag: 31.12.2015
• Reihe/Serie: Proceedings in Adaptation, Learning and Optimization
• Reihe/Serie: Proceedings in Adaptation, Learning and Optimization
• Zusatzinfo: IX, 532 p. 213 illus., 93 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Naturwissenschaften ► Biologie
• Themenwelt: Technik
• Schlagworte: Biological Learning Mechanism • ELM 2015 • extreme learning machines • Intelligent Systems • International Conference on Extreme Learning Machines • Multiagent Systems
• ISBN-10: 3-319-28397-9 / 3319283979
• ISBN-13: 978-3-319-28397-5 / 9783319283975