Proceedings of ELM-2014 Volume 2: Applications (Proceedings in Adaptation, Learning and Optimization)

ISBN 10: 3319140655 / ISBN 13: 9783319140650

Editore: Springer, 2014

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2015 Springer International (Cham, Switzerland), 6 1/2 x 9 1/2 inches tall pictorial hardcover, no dust jacket (as issued), illustrated with black-and-white photographs, charts and graphs, viii, 400 pp. Slight bumping to edges of covers. Otherwise, a very good to near fine copy - clean, bright and unmarked. Due to the weight of the book, additional postage will be required for standard international orders. ~SP05~ [2.5P] 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. Contents: 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.

Codice articolo SP05-0791-10778

Dati bibliografici

• Titolo: Proceedings of ELM-2014 Volume 2: Applications (Proceedings in Adaptation, Learning and Optimization)
• Editore: Springer
• Data di pubblicazione: 2014
• Lingua: Inglese
• ISBN 10: 3319140655
• ISBN 13: 9783319140650
• Rilegatura: Rilegato
• Condizione: Very Good

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Riassunto

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.