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 |
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4:00pm – 6:00pm |
Registration Venue: The Lobby, Shangri-La Hotel |
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7:00pm – 10:00pm |
Welcome Reception Venue: Shangri-La Hotel (to be confirmed) |
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December 15 2015, Tuesday |
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Venue |
Ballroom, Level 3, Shangri-La Hotel |
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8:00am – 8:10am |
Opening Ceremony |
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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 |
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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 |
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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 |
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10:10am – 10:30am |
Coffee Break and Discussions Venue: Ballroom: Foyer, Level 3, Shangri-La
Hotel |
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Venues |
Yingbo Hall |
Tingtao Hall |
Ballroom,
Level 3 |
Yingchao Hall |
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10:30am – 12:30pm |
Session TM1: ELM Algorithm (I)
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Session TM2: ELM Applications (I) |
Session TM3: ELM in Big and Large Scale Data Learning |
Session TM4: ELM and Sparse Representation |
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12:30pm – 2:00pm |
Lunch Venue: Ballroom, Level 2, Shangri-La Hotel |
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Venues |
Yingbo Hall |
Tingtao Hall |
Ballroom,
Level 3 |
Yingchao Hall |
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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 |
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4:00pm – 4:20pm |
Coffee Break and Discussions Venue: Ballroom: Foyer, Level 3, Shangri-La
Hotel |
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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 |
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6:30pm – 8:30pm |
Dinner Venue: Luo Wai Luo Restaurant (楼外楼) |
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December 16 2015, Wednesday |
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Venue |
Ballroom, Level 3, Shangri-La
Hotel |
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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 |
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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 |
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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 |
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10:30am – 10:50am |
Coffee Break and Discussions Venue: Ballroom: Foyer, Level 3, Shangri-La
Hotel |
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Venues |
Yingbo Hall |
Tingtao Hall |
Ballroom,
Level 3 |
Yingchao Hall |
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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 |
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12:30pm – 2:00pm |
Lunch Venue: Ballroom, Level 2, Shangri-La Hotel |
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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 |
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3:20pm –
3:40pm |
Coffee Break and Discussions Venue: Ballroom: Foyer, Level 3, Shangri-La Hotel |
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Venue |
Ballroom, Level 3, Shangri-La
Hotel |
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3:40pm – 4:40pm |
Keynote 7: ELM
and Brain Mind (Tentative) Speaker: Newton
Howard, Oxford University, UK Chair: Erik
Cambria, Nanyang Technological University,
Singapore |
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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 |
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6:30pm – 7:00pm |
Banquet Cocktail |
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7:00pm – 10:00pm |
Conference Banquet Venue: Ballroom, Level 3, Shangri-La Hotel |
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December 17 2015, Thursday |
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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 |
WELM:Extreme 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 |