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Proceedings of ELM-2014 Volume 2: Applications Extreme Learning Machine 2014
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.
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 Grey 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 Behaviour Prediction in Distributed Storage System 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.
