Programme

Further information about the Keynote Speeches can be found here.

Conference program (more detailed programme in the full programme file and below).

December 14 2015, Monday        

4:00pm – 6:00pm

Registration

Venue:   The Lobby, Shangri-La Hotel

7:00pm – 10:00pm

Welcome Reception                                                  

Venue:   Shangri-La Hotel (to be confirmed)

 

                                            

December 15 2015, Tuesday                

Venue

Ballroom, Level 3, Shangri-La Hotel

8:00am – 8:10am

Opening Ceremony                                 

8:10am – 8:50am

Keynote 1:               The Hebbian - LMS Learning Algorithm (Tentative)

Speaker:                    Bernard Widrow, Stanford University, USA

Chair:                        Donald C. Wunsch II,  Missouri University of Science & Technology, USA

8:50am – 9:30am

Keynote 2:               Extreme Learning Machines based Intelligent Systems for Power System                                     Security Assessment and Risk Management

Speaker:                    Zhaoyang Dong, University of Sydney, Australia

Chair:                        Meng-Joo Er,  Nanyang Technological University, Singapore

9:30am – 10:10pm

Keynote 3:               Hierarchical Extreme Learning Machines (ELM) – New Trend of Machine Learning

Speaker:                    Guang-Bin Huang, Nanyang Technological University, Singapore

Chair:                        Yoan Miche, Nokia Solutions and Networks, Finland

10:10am – 10:30am

Coffee Break and Discussions

Venue:    Ballroom: Foyer, Level 3, Shangri-La Hotel

Venues

Yingbo Hall

Tingtao  Hall

Ballroom, Level 3

Yingchao Hall

10:30am – 12:30pm

Session TM1:

ELM Algorithm (I)

Session TM2:

ELM Applications (I)

Session TM3:

ELM in Big and Large Scale Data Learning

Session TM4:

ELM and Sparse Representation

12:30pm – 2:00pm

Lunch                                                           

Venue:   Ballroom, Level 2, Shangri-La Hotel

                                             

Venues

Yingbo Hall

Tingtao  Hall

Ballroom, Level 3

Yingchao Hall

2:00pm  – 4:00pm

Session TA1:

ELM Algorithms (II)

Session TA2:

ELM Applications (II)

Session TA3:

ELM in Image Processing

Session TA4:

ELM in Biomedical Engineering

4:00pm – 4:20pm

Coffee Break and Discussions

Venue:    Ballroom: Foyer, Level 3, Shangri-La Hotel

4:20pm  – 6:00pm

Session TA5:

ELM Algorithms (III)

Session TA6:

ELM Applications (III)

Session TA7:

ELM in Feature Extraction and Applications

Session TA8:

ELM in Sequential and Multi-label Learning

6:30pm – 8:30pm

Dinner                                        

Venue:   Luo Wai Luo Restaurant (楼外楼)

 

                                  

December 16 2015, Wednesday                               

Venue

Ballroom, Level 3, Shangri-La Hotel

8:30am – 9:10am

Keynote 4:               Big Data and ELM for Biomedicine

Speaker:                    Sushing Chen, University of Florida, USA

Chair:                        Amaury Lendasse, University of Iowa, USA

9:10am – 9:50am

Keynote 5:               Multi Extreme Learning Machines for Image Feature Representation

Speaker:                    Q. M. Jonathan Wu, University of Windsor, Canada

Chair:                        Kar-Ann Toh, Yonsei University, Korea

9:50am – 10:30am

Keynote 6:               From Computational Imaging to Optical Computing: ELMs at the Speed of                                     Light

Speaker:                    Laurent Daudet, Paris Diderot University, France

Chair:                        Hua-Jun Chen, Zhejiang University, China

10:30am – 10:50am

Coffee Break and Discussions

Venue:    Ballroom: Foyer, Level 3, Shangri-La Hotel

Venues

Yingbo Hall

Tingtao  Hall

Ballroom, Level 3

Yingchao Hall

10:50am – 12:30pm

Session WM1:

ELM Theory

Session WM2:

ELM in Identification and Detection

Session WM3:

ELM in Web Applications

Session WM4:

ELM in Facial and Emotion Classification

12:30pm – 2:00pm

Lunch

Venue:    Ballroom, Level 2, Shangri-La Hotel

2:00pm – 3:20pm

Session WA1:

ELM in Prediction and Forecasting

Session WA2:

ELM in Industrial Applications

Session WA3:

ELM in Tracking and Localization

Session WA4:

ELM in Image and Text Processing

3:20pm   3:40pm

Coffee Break and Discussions

Venue:    Ballroom: Foyer, Level 3, Shangri-La Hotel

Venue

Ballroom, Level 3, Shangri-La Hotel

3:40pm – 4:40pm

Keynote 7:               ELM and Brain Mind (Tentative)

Speaker:                    Newton Howard, Oxford University, UK

Chair:                        Erik Cambria, Nanyang Technological University, Singapore

4:40pm – 6:00pm

Panel Discussions

 

Panel members -

                  Laurent Daudet, Paris Diderot University, France

                  Sushing Chen, University of Florida, USA

                  Zhaoyang Dong, University of Sydney, Australia

                  Kar-Ann Toh, Yonsei University, Korea

                  Newton Howard, Oxford University, UK

                  Guang-Bin Huang, Nanyang Technological University, Singapore

                  Q. M. Jonathan Wu, University of Windsor, Canada

                  Xin Yao, University of Birmingham, UK

            

Chair:      C. L. Philip Chen, University of Macau, Macau

6:30pm – 7:00pm

Banquet Cocktail

7:00pm – 10:00pm

Conference Banquet            

Venue:     Ballroom, Level 3, Shangri-La Hotel

              

 

December 17 2015, Thursday         

9:00am – 4:00pm

(Time to be confirmed)

Social and Networking Activities

- Xixi National Wetland Park

(Only for confirmed registered participants)

Meeting Time:    9:00am

Meeting Venue: Shangri-La Hotel

  

Technical Program

December 15th, 2015, Tuesday

10:30am – 12:30pm

Session TM1:         ELM Algorithm (I)

Chair:                       Federica Bisio

Venue:                       Yingbo Hall (映波厅)

10:30am

Efficient Batch Parallel Online Sequential Extreme Learning Machine Algorithm based on MapReduce

 

Shan Huang, Botao Wang, Yuemei Chen, Guoren Wang, and Ge Yu

Northeastern University, China

10:50am

Fixed-Point Evaluation of Extreme Learning Machine for Classification

 

Yingnan Xu, Jingfei Jiang, Juping Jiang, Zhiqiang Liu, and Jinwei Xu

National University of Defense Technology, China

11:10am

Parallel Multi-Graph Classification Using Extreme Learning Machine and MapReduce

 

Jun Pang1, Yu Gu1, Jia Xu2, Xiaowang Kong1, and Ge Yu1

1Northeastern University, China

2Guangxi University,China

11:30am

Cluster-based Outlier Detection Using Unsupervised Extreme Learning Machines

 

Xite Wang, Derong Shen, Mei Bai, Tiezheng Nie, Yue Kou, and Ge Yu

Northeastern University, China

11:50am

Learning with Similarity Functions: a Novel Design for the Extreme Learning Machine

 

Federica Bisio, Paolo Gastaldo, Rodolfo Zunino, Christian Gianoglio, and Edoardo Ragusa

University of Genoa, Italy

12:10pm

Optimization Extreme Learning Machine with ν Regularization

 

Ding Xiao-Jian1, Lan Yuan2, Zhang Zhi-Feng3, and Xu Xin1

1Science and Technology on Information Systems Engineering Laboratory, China

2Taiyuan University of Technology, China

3Zhengzhou University of Light Industry, China

 

10:30am – 12:30pm

Session TM2:         ELM Applications (I)

Chair:                       Kezhi Mao

Venue:                       Tingtao  Hall (听涛厅)

10:30am

The Distance-based Representative Skyline Calculation using Unsupervised Extreme Learning Machines

 

Mei Bai, Junchang Xin, Guoren Wang, and Xite Wang

Northeastern University, China

10:50am

A Semi-Supervised Extreme Learning Machine Framework and Its Application in Antineoplastics Classification Using Near-Infrared Spectroscopy Data

 

Shibo Jing, Tengyang Zhao, and Liming Yang

China Agricultural University, China

11:10am

Optimization of Outsourcing ELM problems in Cloud Computing from Multi-Parties

 

Jiarun Lin, Tianhang Liu, Zhiping Cai, Xinwang Liu, and Jianping Yin

National University of Defense Technology, China

11:30am

H-MRST: A Novel Framework For Support Uncertain Data Range Query Using ELM

 

Bin Wang, Rui Zhu, and Guoren Wang

Northeastern University, China

11:50am

Robust Kernel-based Model Reference Adaptive Control for Unstable Aircraft

 

Zhao-Xu Yang, Guang-She Zhao, Rong-Jing Bao, Hai-Jun Rong, and Lei-Tao Gao

Xi'an Jiaotong University, China

12:10pm

Partially Connected ELM for Fast and Effective Scene Classification

 

Dongzhe Wang, Rui Zhao, and Kezhi Mao

Nanyang Technological University, Singapore

 

 

10:30am – 12:30pm

Session TM3:         ELM in Big and Large Scale Data Learning

Chair:                       Yuanlong Yu

Venue:                       Ballroom, Level 3

10:30am

Extreme Learning Machine for Large-Scale Graph Classification Based on MapReduce

 

Zhanghui Wang1, Yuhai Zhao1,2, and Guoren Wang1

1Northeastern University, China

2SoutheastUniversity, China

10:50am

Heterogeneous Blocked CPU-GPU Accelerate Scheme for Large Scale Extreme Learning Machine

 

Shijie Li, Yong Dou, Qi Lv, Yueqing Wang, and Zhige Xie

National University of Defense Technology, China

11:10am

Application of Extreme Learning Machine on Large Scale Traffic Congestion Prediction

 

Xiaojuan Ban1,2, Chong Guo1, and Guohui Li3

1University of Science and Technology Beijing, China

2Tianjin University, China

3Ao Jin Tech Co., Ltd, China

11:30am

An Efficient High-dimensional Big Data Storage Structure Based on US-ELM

 

Linlin Ding1, Yu Liu1, Baoyan Song1, and Junchang Xin2

1Liaoning University, China

2Northeastern University, China

11:50am

Large-Scale Scene Recognition based on Extreme Learning Machines

 

Yuanlong Yu1, Lingying Wu1, Kai Sun1, and Jason Gu2

1Fuzhou University, China

2Dalhousie University, Canada

12:10pm

Two-Layer Extreme Learning Machine for Dimension Reduction

 

Yimin Yang and Q. M. JonathanWu

University of Windsor, Canada

 

10:30am – 12:30pm

Session TM4:         ELM and Sparse Representation

Chair:                       Huaping Liu

Venue:                       Yingchao Hall (迎潮厅)

10:30am

Discriminative Extreme Learning Machine with Supervised Sparsity Preserving for Image Classification

 

Yong Peng1,2 and Bao-Liang Lu2

1Nanjing University of Aeronautics and Astronautics, China

2Shanghai Jiao Tong University, China

10:50am

Sparse Coding Extreme Learning Machine for Classification

 

Zhenzhen Sun and Yuanlong Yu

Fuzhou University, China

11:10am

Extreme Learning Machine via Free Sparse Transfer Representation Optimization

 

Xiaodong Li1, Weijie Mao2, and Wei Jiang2

1Hangzhou Dianzi University, China

2Zhejiang University, China

11:30am

Denoising Deep Extreme Learning Machines for Sparse Representation

 

Xiangyi Cheng1, Huaping Liu2, Xinying Xu1, and Fuchun Sun2

1Taiyuan University of Technology, China

2Tsinghua University, China

11:50am

A Pruning Ensemble Model of Extreme Learning Machine with 𝑳𝟏/𝟐 Regularizer

 

Bo He1, Tingting Sun1, Tianhong Yan2, Yue Shen1, and Rui Nian1

1Ocean University of China, China

2China Jiliang University, China

12:10pm

Sparse Extreme Learning Machine for Regression

 

Zuo Bai, Guang-Bin Huang, and Danwei Wang

Nanyang Technological University, Singapore

 

02:00pm – 04:00pm

Session TA1:          ELM Algorithms (II)

Chair:                       Yoan Miche

Venue:                       Yingbo Hall (映波厅)

02:00pm

ELM-ML: Study on Multi-Label Classification using Extreme Learning Machine

 

Xia Sun1, Jiarong Wang2,Changmeng Jiang1, Jingting Xu1, Jun Feng1, Su-Shing Chen3, and Feijuan He4

1Northwest University, China

2Chinese Academy of Sciences, China

3University of Florida, USA

4Xi'an Jiaotong University, China

02:20pm

The Selection of Input Weights of Extreme Learning Machine: A Sample Structure Preserving Point of View

 

Wenhui Wang1 and Xueyi Liu2

1Zhejiang University of Water Resources and Electric Power, China

2China Jiliang University, China

02:40pm

KELM : An Improved K-means Clustering Method using Extreme Learning Machine

 

Lijuan Duan1, Bin Yuan1, Song Cui1, Jun Miao2, and Wentao Zhu2

1Beijing University of Technology, China

2Chinese Academy of Sciences, China

03:00pm

ELMVIS+: Improved Nonlinear Visualization Technique using Cosine Distance and Extreme Learning Machines

 

Anton Akusok1, Yoan Miche2, Kaj-Mikael Bjork3, Rui Nian4, and Paula Lauren5,and Amaury Lendasse1

1The University of Iowa, Iowa City, USA

2Nokia Solutions and Networks Group, Finland

3Arcada University of Applied Sciences, Finland

4Ocean University of China, China

5Oakland University, USA

03:20pm

On Mutual Information over non-Euclidean Spaces, Data Mining and Data Privacy Levels

 

Yoan Miche1, Ian Oliver1, Silke Holtmanns1, Anton Akusok2, AmauryLendasse2, and Kaj-Mikael Bjork3

1Nokia Solutions and Networks, Finland

2The University of Iowa, USA

3Arcada University of Applied Sciences, Finland

03:40pm

WELMExtreme Learning Machine with Wavelet Dynamic Co-Movement Analysis in High-Dimensional Time Series

 

Heng-Guo Zhang1, Rui Nian1, Yan Song1, Chi-Wei Su1, Yang Liu1, Amaury Lendasse2,3

1Ocean University of China, China

2Arcada University of Applied Sciences, Finland

3The University of Iowa, USA

 

02:00pm – 04:00pm

Session TA2:          ELM Applications (II)

Chair:                       Jiuwen Cao

Venue:                       Tingtao  Hall (听涛厅)

02:00pm

ELM Meets Urban Computing: Ensemble Urban Data For Smart City Applications

 

Ningyu Zhang, Huajun Chen, Xi Chen, and Jiaoyan Chen

Zhejiang University, Hangzhou, China

02:20pm

Local and Global Unsupervised Kernel Extreme Learning Machine and Its Application in Nonlinear Process Fault Detection

 

Hanyuan Zhang1, Xuemin Tian1,Xiaohui Wang1,2, and Yuping Cao1

1China University of Petroleum (East China), China

2Qingdao University, China

02:40pm

Kernel Based Semi-supervised Extreme Learning Machine and the Application in Traffic Congestion Evaluation

 

Qing Shen, Xiaojuan Ban, Chong Guo, and Cong Wang

University of Science and Technology Beijing, China

03:00pm

The Classification of Imbalanced Large Data Sets Based on MapReduce and Ensemble of ELM Classifiers

 

Junhai Zhai1,2, Sufang Zhang3, and Chenxi Wang1

1Hebei University, China

2Zhejiang Normal University, China

3China Meteorological Administration, China

03:20pm

ELM based Representational Learning for Fault Diagnosis of Wind Turbine Equipment

 

Zhixin Yang, Xianbo Wang, Pak Kin Wong, and Jianhua Zhong

University of Macau, China

03:40pm

Excavation Equipment Recognition based on Improved MFCC Features and ELM Classifier

 

Tuo Zhao, Jiuwen Cao, Wei Wang, Jianzhong Wang, and Ruirong Wang

Hangzhou Dianzi University, China

 

02:00pm – 04:00pm

Session TA3:          ELM in Image Processing

Chair:                       Lei Zhang

Venue:                       Ballroom, Level 3

02:00pm

SVM and ELM: Who Wins? Object Recognition with Deep Convolutional Features from ImageNet

 

Lei Zhang1,2, David Zhang2, and Fengchun Tian1

1Chongqing University, China

2The Hong Kong Polytechnic University, China

02:20pm

Extreme Learning Machine-Guided Collaborative Coding for Remote Sensing Image Classification

 

Chunwei Yang1,2, Huaping Liu2, Shouyi Liao1, and Shicheng Wang1

1High-Tech Institute of Xi'an, China

2Tsinghua University, China

02:40pm

Extreme Learning Machine with Gaussian Kernel Based Relevance Feedback Scheme for Image Retrieval

 

Lijuan Duan, Shuai Dong, Song Cui, and Wei Ma

Beijing University of Technology, China

03:00pm

Code Generation Technology of Digital Satellite

 

Ren Min, Dong Yunfeng, and Li Chang

Beihang University, China

03:20pm

Robust Discriminative Extreme Learning Machine for  Relevance Feedback in Image Retrieval

 

Liu Shenglan, Feng Lin, Liu Yang, and Wang Wei

Dalian University of Technology, China

03:40pm

Continuous Top-K Remarkable comments Over Textual Streaming Data Using ELM

 

Rui Zhu, Bin Wang, and Guoren Wang

Northeastern University, China

 

02:00pm – 04:00pm

Session TA4:          ELM in Biomedical Engineering

Chair:                       Rui Zhang

Venue:                       Yingchao Hall (迎潮厅)

02:00pm

Segmentation of the Left Ventricle in Cardiac MRI Using an ELM Model

 

Yang Luo1, 2, Benqiang Yang3, Lisheng Xu1, Liling Hao1, Jun Liu1, Yang Yao1, and Frans van de Vosse4

1Northeastern University, China

2Anshan Normal University, China

3General Hospital of Shenyang Military, China

4Eindhoven University of Technology, The Netherlands

02:20pm

Distributed Weighted Extreme Learning Machine for Big Imbalanced Data Learning

 

Zhiqiong Wang, Junchang Xin, Shuo Tian, and Ge Yu

Northeastern University, China

02:40pm

NMR Image Segmentation based on Unsupervised Extreme Learning Machine

 

Junchang Xin, Zhongyang Wang, Shuo Tian, and Zhiqiong Wang

Northeastern University, China

03:00pm

Feature Extraction of Motor Imagery EEG based on Extreme Learning Machine Auto-Encoder

 

LijuanDuan, Yanhui Xu, Song Cui ,Juncheng Chen,  and MenghuBao

Beijing University of Technology, China

03:20pm

RNA Secondary Structure Prediction using Extreme Learning Machine with Clustering Under Sampling Technique

 

Tianhang Liu, Jiarun Lin, Chengkun Wu, and Jianping Yin

National University of Defense Technology, China

03:40pm

Application of extreme learning machine to epileptic seizure detection based on lagged Poincare plots

 

Jiangling Song and Rui Zhang

Northwest University, China

 

04:20pm – 06:00pm

Session TA5:          ELM Algorithms (III)

Chair:                       Xinwang Liu

Venue:                       Yingbo Hall (映波厅)

04:20pm

Improvement of ELM Algorithm for Multi-Object Identification in Gesture Interaction

 

Liang Diao1, Liguo Shuai1, Huiling Chen1, and Weihang Zhu2

1Southeast University, China

2Lamar University, USA

04:40pm

A Semi-Supervised Low Rank Kernel Learning Algorithm via Extreme Learning Machine

 

Bing Liu, Mingming Liu, Chen Zhang, and Weidong Wang

China University of Mining and Technology, China

05:00pm

Class-Constrained Extreme Learning Machine

 

Xiao Liu1,2, Jun Miao2, Laiyun Qing2, and Baoxiang Cao1

1Qufu Normal University, China

2Chinese Academy of Sciences, China

05:20pm

Distributed Extreme Learning Machine with Alternating Direction Method of Multiplier

 

Minnan Luo, Lingling Zhang, Qinghua Zheng, and Jun Liu

Xi'an Jiaotong University, China.

05:40pm

Subspace Ensemble Classification for High Dimensional Missing Data

 

Hang Gao, Xinwang Liu, and Yuxing Peng

National University of Defense Technology, China

 

04:20pm – 06:00pm

Session TA6:          ELM Applications (III)

Chair:                       Meng-Hiot Lim

Venue:                       Tingtao  Hall (听涛厅)

04:20pm

Encrypted Image Classification based on Multilayer Extreme Learning Machine

Weiru Wang, Chi-Man Vong, Yilong Yang, and Pak-Kin Wong

University of Macau, China

04:40pm

Rational and Self-Adaptive Evolutionary Extreme Learning Machine for Electricity Price Forecast

 

Chixin Xiao1,2, Zhaoyang Dong3, Yan Xu2, Ke Meng2, Xun Zhou2, and XinZhang3

1University of Newcastle, Australia

2Xiangtan University, China

3University of Sydney, Australia

05:00pm

Multi-Modal Deep Extreme Learning Machine for Robotic Grasping Recognition

 

Jie Wei1, Huaping Liu2, Gaowei Yan1, and Fuchun Sun2

1Taiyuan University of Technology, China

2Tsinghua University, China

05:20pm

Wind Power Ramp Events Classification using Extreme Learning Machines

 

Sujay Choubey1, Anubhav Barsaiyan1, Nitin Anand Shrivastava1, Bijaya Ketan Panigrahi1, and Meng-Hiot Lim2

1Indian Institute of Technology, India

2Nanyang Technological University, Singapore

05:40pm

Data Driven Map Matching of the Vehicle Tracks

 

Gang Wu and Huiqin Li

Northeastern University, China

 

04:20pm – 06:00pm

Session TA7:          ELM in Feature Extraction and Applications

Chair:                       Kar-Ann Toh

Venue:                       Ballroom, Level 3

04:20pm

 

 

Feature Weighting Using Evolutionary Extreme Learning Machine for Nearest-neighbor Classification

 

Yanpeng Qu, Nana Zhang and Anshdeng Deng

Dalian Maritime University, China

04:40pm

Graph Classification based on Sparse Graph Feature Selection and Extreme Learning Machine

 

Yajun Yu, Zhisong Pan and Guyu Hu

PLA University of Science and Technology, China

05:00pm

An Enhanced Extreme Learning Machine for Efficient Small Sample Classification

 

Ying Yin, Yuhai Zhao, Ming Li, and Bin Zhang

Northeastern University, China

05:20pm

Contractive ML-ELM for Invariance Robust Feature Extraction

 

Xibin Jia and Hua Du

Beijing University of Technology, China

05:40pm

Hardware Architecture for Large Parallel Array of Random Feature Extractors for Image Recognition

 

Aakash Patil, Shen Shanlan, Enyi Yao, and Arindam Basu

Nanyang Technological University, Singapore

 

04:20pm – 06:00pm

Session TA8:          ELM in Sequential and Multi-Label Learning

Chair:                       Meng Joo Er

Venue:                       Yingchao Hall (迎潮厅)

04:20pm

Two-Stage Hybrid Extreme Learning Machine for Sequential Imbalanced Data

 

Wentao Mao, Jinwan Wang, Ling He, and Yangyang Tian

Henan Normal University, China

04:40pm

Timeliness Online Regularized Extreme Learning Machine

 

Xiong Luo, Xiaona Yang, Changwei Jiang, and Xiaojuan Ban

University of Science and Technology Beijing, China

05:00pm

Kernel Online Sequential ELM Algorithm with Sliding Window Subject to Time-Sensitive Data

 

Haigang Zhang, Sen Zhang, and Yixin Yin

University of Science and Technology Beijing, China

05:20pm

Multi-Instance Multi-label learning by Extreme Learning Machine

 

Chenguang Li, Ying Yin, Yuhai Zhao, Guang Chen, and Libo Qin

Northeastern University, China

05:40pm

A High Speed Multi-label Classifier based on Extreme Learning Machines

 

Meng Joo Er1,2, Rajasekar Venkatesan1, and Ning Wang2

1Nanyang Technological University, Singapore

2Dalian Maritime University, China

 

December 16th, 2015, Wednesday

10:50am – 12:30pm

Session WM1:        ELM Theory

Chair:                       Amaury Lendasse

Venue:                       Yingbo Hall (映波厅)

10:50am

On The Construction of Extreme Learning Machine for One Class Classifier

 

Chandan Gautam and Aruna Tiwari

Indian Institute of Technology, India

11:10am

A Theoretical Study on Reasoning of Extreme Learning Machine for Classification

 

Pak Kin Wong, Xiang Hui Gao, Ka In Wong, and Chi Man Vong

University of Macau, China

11:30am

Correlation between Extreme Learning Machine and Entorhinal Hippocampal System

 

Lijuan Su, Min Yao, Nenggan Zheng, and Zhaohui Wu

Zhejiang University, China

11:50am

Dynamic Adjustment of Hidden Layer Structure for Convex Incremental Extreme Learning Machine

 

Yongjiao Sun, Yuangen Chen, Ye Yuan, and Guoren Wang

Northeastern University, China

12:10pm

Probabilistic Methods for Multiclass Classification Problems

 

Andrey Gritsenko1,3, Emil Eirola2, Daniel Schupp3, Edward Ratner3, and

Amaury Lendasse1,2

1The University of Iowa, USA

2Arcada University of Applied Sciences, Finland

3Lyrical Labs LLC, USA

 

10:50am – 12:30pm

Session WM2:        ELM in Identification and Detection

Chair:                       Zhixin Yang

Venue:                       Tingtao  Hall (听涛厅)

10:50am

Channel Estimation Based on Extreme Learning Machine for High Speed Environments

 

Fang Dong1, Junbiao Liu1, Liang He2, Xiaohui Hu1, and Hong Liu1

1Zhejiang University, China

2Tsinghua University, China

11:10am

MIMO Modeling Based on Extreme Learning Machine

 

Junbiao Liu1, Fang Dong1, Jiuwen Cao2, and Xinyu Jin1

1Zhejiang University, China

2Hangzhou Dianzi University, China

11:30am

Adaptive Input Shaping for Flexible Systems using an Extreme Learning Machine Algorithm Identification

 

Jun Hu and Zhongyi Chu

Beihang University, China

11:50am

WOS-ELM-Based Double Redundancy Fault Diagnosis and Reconstruction for Aircraft Engine Sensor

 

Yi-Gang Sun, Jing-Ya Liu, and Zhen Zhao

Civil Aviation University of China, Tianjin

12:10pm

Real-Time Driver Fatigue Detection Based on ELM

 

Hengyu Liu, Tiancheng Zhang, HaibinXie, Hongbiao Chen, and Fangfang Li

Northeastern University, China

 

 

10:50am – 12:30pm

Session WM3:        ELM in Web Applications

Chair:                       Zhaoxia Wang

Venue:                       Ballroom, Level 3

10:50am

Extreme Learning Machine for Multi-Class Sentiment Classification of Tweets

 

Zhaoxia Wang1 and Yogesh Parth2

1Institute of High Performance Computing, Singapore

2Indian Institute of Space Science and Technology, India

11:10am

Record Linkage for Event Identification in XML Feeds Stream Using ELM

 

Xin Bi, Xiangguo Zhao, Wenhui Ma, Zhen Zhang, and Heng Zhan

Northeastern University, China

11:30am

Sentiment Analysis of Chinese Micro Blog based on DNN and ELM and Vector Space Model

 

Huilin Liu, Chun Feng Jiang, and Shan Li

Northeastern University, China

11:50am

Self Forward and Information Dissemination Prediction Research in SINA Microblog Using ELM

 

Huilin Liu and Yao Li

Northeastern University, China

12:10pm

Extreme Learning Machine based Point-of-Interest Recommendation in Location-based Social Networks

 

Mo Chen, Feng Li, Ge Yu, and Dan Yang

Northeastern University, China

 

 

10:50am – 12:30pm

Session WM4:        ELM in Facial and Emotion Classification

Chair:                       Erik Cambria

Venue:                       Yingchao Hall (迎潮厅)

10:50am

Multimodal Fusion using Kernel-based ELM for Video Emotion Recognition

 

LijuanDuan, Hui Ge, Zhen Yang, and Juncheng Chen

Beijing University of Technology, China

11:10am

Automated Human Facial Expression Recognition Using Extreme Learning Machines

 

Abhilasha Ravichander, Supriya Vijay, Varshini Ramaseshan, and S. Natarajan

P.E.S Institute of Technology, India

11:30am

Facial Expression Recognition Based on Ensemble Extreme Learning Machine with Eye Movements Information

 

Bo Lu1, Xiaodong Duan1, and Ye Yuan2

1Dalian Nationalities University, China

2Northeastern University, China

11:50am

Multiple Kernel Learning for Multimodal Emotion and Sentiment Analysis

 

Soujanya Poria1, Erik Cambria1, Amir Hussain2, and Newton Howard3

1Nanyang Technological University, Singapore

2University of Stirling, UK

3Massachusetts Institute of Technology, USA

12:10pm

A Randomly Weighted Gabor Network for Visual-Thermal Infrared Face Recognition

 

Beom-Seok Oh1,2, Kangrok Oh1, Andrew Beng Jin Teoh1, Zhiping Lin2, and Kar-Ann Toh1

1Yonsei University, Republic of Korea

2Nanyang Technological University, Singapore

 

 

2:00pm – 3:20pm

Session WA1:        ELM in Prediction and Forecasting

Chair:                       Zhiping Lin

Venue:                       Yingbo Hall (映波厅)

2:00pm

Time Series Prediction Based on Online Sequential Improved Error Minimized Extreme Learning Machine

 

Jiao Xue, Zeshen Liu, Yong Gong, and Zhisong Pan

PLA University of Science and Technology, China

2:16pm

Routing Tree Maintenance based on Trajectory Prediction in Mobile Sensor Networks

 

Junchang Xin, Teng Li, Pei Wang, and Zhiqiong Wang

Northeastern University, China

2:32pm

A Kernel Extreme Learning Machine Algorithm Based on Improved Particle Swam Optimization

 

Huijuan Lu1, Bangjun Du1, Jinyong Liu2, and Haixia Xia3

1China Jiliang University, China

2Ctrip Travel Network, China

3Zhejiang Sci-Tech University, China

2:48pm

Evaluating Confidence Intervals for ELM Predictions

 

Anton Akusok1, Yoan Miche2,3, Kaj-Mikael Bjork4, Rui Nian5, Paula Lauren6, and Amaury Lendasse1

1The University of Iowa, USA

2Nokia Solutions and Networks Group, Finland

3Aalto University School of Science, Finland

4Arcada University of Applied Sciences, Finland

5Ocean University of China, China

6Oakland University, USA

3:04pm

Extreme Learning Machine Based Mutual Information Estimation with an Application in Time-Series Change-Points Detection

 

Beom-Seok Oh1, Lei Sun1, Chung Soo Ahn2, Yong Kiang Yeo1, Yan Yang1, Liu Nan2, and Zhiping Lin1

1Nanyang Technological University, Singapore

2Singapore General Hospital, Singapore

 

2:00pm – 3:20pm

Session WA2:        ELM in Industrial Applications

Chair:                       Sandra Seijo

Venue:                       Tingtao  Hall (听涛厅)

2:00pm

Feature Selection and Modelling of a Steam Turbine from a Combined Heat and Power Plant Using ELM

 

Sandra Seijo1, Victoria Martinez1, Ines del Campo1, Javier Echanobe1, and Javier Garcia-Sedano2

1University of the Basque Country, Spain

2Optimitive, Spain

2:16pm

An Adaptive Online Sequential Extreme Learning Machine for Real-Time Tidal Level Prediction

 

Jianchuan Yin, Lianbo Li, Yuchi Cao, and Jian Zhao

Dalian Maritime University, China

2:32pm

Prediction of Pulp Concentration Using Extreme Learning Machine

 

Changwei Jiang1, Xiong Luo1, Xiaona Yang1, Huan Wang1,2, and Dezheng Zhang1

1University of Science and Technology Beijing, China

2Ansteel Mining, China

2:48pm

The Granule-Based Interval Forecast for Wind Speed

 

Songjian Chai1, Youwei Jia1, Zhao Xu1, and Zhaoyang Dong2

1The Hong Kong Polytechnic University, China

2The University of Sydney, Australia

3:04pm

Prediction of Blast Furnace Gas Utilization Rate based on Improved Extreme Learning Machine

 

Yanjiao Li, Sen Zhang, Yixin Yin, and Jie Zhang

University of Science and Technology Beijing, China

 

2:00pm – 3:20pm

Session WA3:        ELM in Tracking and Localization

Chair:                       Shifei Ding

Venue:                       Ballroom, Level 3

2:00pm

Random Neural Q-learning for Obstacle Avoidance of a Mobile Robot in Unknown Environment

 

Jing Yang and Hai-Jun Rong

Xi'an Jiaotong University, China

2:16pm

Equality Constrained-Optimization-Based Semi-Supervised ELM for Modeling Signal Strength Temporal Variation in Indoor Location Estimation

 

Felis Dwiyasa1, Meng-Hiot Lim1, Yew-Soon Ong1, and Bijaya Panigrahi2

1Nanyang Technological University, Singapore

2Indian Institute of Technology, India

2:32pm

A New Target Tracking Method based on OSELM

 

Jing Zhang, Lin Feng, and Laihang Yu

Dalian University of Technology, China

2:48pm

Effective Visual Tracking by Pairwise Metric Learning

 

Baoxian Wang1, Chenwei Deng1, Weisi Lin2, Guang-Bin Huang2, and Baojun Zhao1,3

1Beijing Institute of Technology, China

2Nanyang Technological University, Singapore

3Beijing Key Laboratory of Embedded Real-time Information Processing Technology, China

3:04pm

The SVM-ELM Model based on Particle Swarm Optimization

 

Shifei Ding1,2 and Miaomiao Wang1

1China University of Mining and Technology, China

2Chinese Academy of Sciences, China

 

2:00pm – 3:20pm

Session WA4:        ELM in Image and Text Processing

Chair:                       Zhu Liang Yu

Venue:                       Yingchao Hall (迎潮厅)

2:00pm

Multi-Layer Online Sequential Extreme Learning Machine for Image Classification

 

Bilal Mirza, Stanley Kok and Fei Dong

Singapore University of Technology & Design, Singapore

2:16pm

Multi-label Text Categorization Using L21-Norm Minimization Extreme Learning Machine

 

Mingchu Jiang, Na Li, and Zhisong Pan

PLA University of Science and Technology, China

2:32pm

Annotating Location Semantic Tags in LBSN Using Extreme Learning Machine

 

Xiangguo Zhao, Zhen Zhang, Xin Bi, Xin Yu, and Jingtao Long

Northeastern University, China

2:48pm

Image Super-Resolution by PSOSEN of Local Receptive Fields Based Extreme Learning Machine

 

Yan Song1, Bo He1, Yue Shen1, Rui Nian1, and Tianhong Yan2

1Ocean University of China, China

2China Jiliang University, China

3:04pm

Extreme Learning Machine with Local Receptive Fields for Texture Classification

 

Jinghong Huang1, Zhu Liang Yu1, Zhaoquan Cai2, Wei Gao1, Qianyun Du1, Zhiyin Cai1, and Zhenghui Gu1

1South China University of Technology, China

2Huizhou University, China