Proceedings of ELM-2014 Volume 2 (Record no. 58508)

000 -LEADER
fixed length control field 05433nam a22005175i 4500
001 - CONTROL NUMBER
control field 978-3-319-14066-7
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112545.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 141209s2015 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319140667
-- 978-3-319-14066-7
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
245 10 - TITLE STATEMENT
Title Proceedings of ELM-2014 Volume 2
Sub Title Applications /
300 ## - PHYSICAL DESCRIPTION
Number of Pages VIII, 400 p. 157 illus.
490 1# - SERIES STATEMENT
Series statement Proceedings in Adaptation, Learning and Optimization,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.  .
700 1# - AUTHOR 2
Author 2 Cao, Jiuwen.
700 1# - AUTHOR 2
Author 2 Mao, Kezhi.
700 1# - AUTHOR 2
Author 2 Cambria, Erik.
700 1# - AUTHOR 2
Author 2 Man, Zhihong.
700 1# - AUTHOR 2
Author 2 Toh, Kar-Ann.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-14066-7
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2015.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
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-- rdacarrier
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-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence (incl. Robotics).
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2363-6084 ;
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-- ZDB-2-ENG

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