Cao / Mao / Toh | Proceedings of ELM-2014 Volume 2 | Buch | 978-3-319-36685-2 | sack.de

Buch, Englisch, Band 4, 400 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 6146 g

Reihe: Proceedings in Adaptation, Learning and Optimization

Cao / Mao / Toh

Proceedings of ELM-2014 Volume 2

Applications
Softcover Nachdruck of the original 1. Auflage 2015
ISBN: 978-3-319-36685-2
Verlag: Springer International Publishing

Applications

Buch, Englisch, Band 4, 400 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 6146 g

Reihe: Proceedings in Adaptation, Learning and Optimization

ISBN: 978-3-319-36685-2
Verlag: Springer International Publishing


This book contains some selected papers from the International Conference on Extreme Learning Machine 2014, which was held in Singapore, December 8-10, 2014. This conference brought together the researchers and practitioners of Extreme Learning Machine (ELM) from a variety of fields to promote research and development of “learning without iterative tuning”. The book covers theories, algorithms and applications of ELM. It gives the readers a glance of the most recent advances of ELM.
Cao / Mao / Toh Proceedings of ELM-2014 Volume 2 jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


Using Extreme Learning Machine for Filamentous Bulking Prediction and Forecast in Wastewater Treatment Plants.- Extreme Learning Machine for Linear Dynamical Systems Classification: Application to Human Activity Recognition.- Lens Distortion Correction Using ELM.- Pedestrian Detection in Thermal Infrared Image using Extreme Learning Machine.- Dynamic Texture Video Classification Using Extreme Learning Machine.- Uncertain XML Documents Classification Using Extreme Learning Machine.- Encrypted traffic identification based on randomness sparse feature and extreme learning machine.- Network Intrusion Detection Based on Extreme Learning Machine.- A Study on Three-dimensional Motion History Image and Extreme Learning Machine Oriented Body Movements Trajectory Recognition.- An Improved ELM Algorithm for the Measurement of Hot Metal Temperature in Blast Furnace.- Wi-Fi and Motion Sensors based Indoor Localization Combining ELM and Particle Filter.- Online Sequential Extreme Learning Machine for Watermarking.- Adaptive neural control of quadrotor helicopter with extreme learning machine.- Keyword Search on Probabilistic XML Data based on ELM.- A Novel HVS Based Gray Scale Image Watermarking Scheme Using Fast Fuzzy - ELM Hybrid Architecture.- Wearable EyeGlass based Fall Detection using Weighted ELM.- Concise Feature Extraction based ELM for Active Service Quality Prediction.- Multi-class AdaBoost ELM and Its Application in LBP Based Face Recognition.- Detecting Copy Directions among Programs Using Extreme Learning Machines.- Extreme learning machine for reservoir parameter estimation in heterogeneous reservoir.- Multifault Diagnosis for Rolling Element Bearings Based on Extreme Learning Machine.- Gradient-based No-Reference Image Blur Assessment Using Extreme Learning Machine.- RFID Enabled Indoor Positioning for Real-time Manufacturing Execution System based on OS-ELM.- An Online Sequential Extreme Learning Machine for Tidal Prediction based on Improved Gath-Geva Fuzzy Segmentation.- Recognition of Human Stair Ascent and Descent Activities based on Extreme Learning Machine.- ELM Based Dynamic Modeling for Online Prediction of Content in Molten Iron.-  Distributed Learning over Massive XML Documents in ELM Feature Space.- Hyperspectral Image Nonlinear Unmixing by Ensemble ELM Regression.- Text-Image Separation and Indexing in Historic Patent Document Image Based on Extreme Learning Machine.- Anomaly Detection with ELM-based Visual Attribute and Spatio-temporal Pyramid.- Modelling and Prediction of Surface Roughness and Power Consumption using Parallel Extreme Learning Machine based Particle Swarm Optimization.- OS-ELM based Emotion Recognition for Empathetic Elderly Companion.- Access Behavior Prediction in Distributed StorageSystem using Regularized Extreme Learning Machine.- ELM Based Fast CFD Model with Sensor Adjustment.- Melasma Image Segmentation Using Extreme Learning Machine.- Detection of Drivers' Distraction Using Semi-Supervised Extreme Learning Machine.- Driver Workload Detection in On-road Driving Environment using Machine Learning.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.