Neural Information Processing: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part I

Front Matter ....Pages I-XVIII
Front Matter ....Pages 1-1
 Improving Generalization Capability of Extreme Learning Machine with Synthetic Instances Generation  (Wei Ao, Yulin He, Joshua Zhexue Huang, Yupeng He)....Pages 3-12
 Adaptive \(L_p\)\((0<p<1)\) Regularization: Oracle Property and Applications  (Yunxiao Shi, Xiangnan He, Han Wu, Zhong-Xiao Jin, Wenlian Lu)....Pages 13-23
 Fuzzy Self-Organizing Incremental Neural Network for Fuzzy Clustering  (Tianyue Zhang, Baile Xu, Furao Shen)....Pages 24-32
 Stochastic Online Kernel Selection with Instantaneous Loss in Random Feature Space  (Zhizhuo Han, Shizhong Liao)....Pages 33-42
 Topology Learning Embedding: A Fast and Incremental Method for Manifold Learning  (Tao Zhu, Furao Shen, Jinxi Zhao, Yu Liang)....Pages 43-52
 Hybrid RVM Algorithm Based on the Prediction Variance  (Fang Liu, Fei Zhao, Mi Tong, Yan Yang, Zhenhao Yu)....Pages 53-63
 Quality Control for Crowdsourced Multi-label Classification Using RAkEL  (Kosuke Yoshimura, Yukino Baba, Hisashi Kashima)....Pages 64-73
 A Self-adaptive Growing Method for Training Compact RBF Networks  (Baile Xu, Furao Shen, Jinxi Zhao, Tianyue Zhang)....Pages 74-81
 Incremental Extreme Learning Machine via Fast Random Search Method  (Zhihui Lao, Zhiheng Zhou, Junchu Huang)....Pages 82-90
 Learning of Phase-Amplitude-Type Complex-Valued Neural Networks with Application to Signal Coherence  (Rongrong Wu, He Huang, Tingwen Huang)....Pages 91-99
 Application of Instruction-Based Behavior Explanation to a Reinforcement Learning Agent with Changing Policy  (Yosuke Fukuchi, Masahiko Osawa, Hiroshi Yamakawa, Michita Imai)....Pages 100-108
 Using Flexible Neural Trees to Seed Backpropagation  (Peng Wu, Jeff Orchard)....Pages 109-116
 Joint Neighborhood Subgraphs Link Prediction  (Dinh Tran-Van, Alessandro Sperduti, Fabrizio Costa)....Pages 117-123
 Multimodal Fusion with Global and Local Features for Text Classification  (Cheng Xu, Yue Wu, Zongtian Liu)....Pages 124-134
 Learning Deep Neural Network Based Kernel Functions for Small Sample Size Classification  (Tieran Zheng, Jiqing Han, Guibin Zheng)....Pages 135-143
 Relation Classification via CNN, Segmented Max-pooling, and SDP-BLSTM  (Pengfei Wang, Zhipeng Xie, Junfeng Hu)....Pages 144-154
 Binary Stochastic Representations for Large Multi-class Classification  (Thomas Gerald, Nicolas Baskiotis, Ludovic Denoyer)....Pages 155-165
 Solving the Local-Minimum Problem in Training Deep Learning Machines  (James Ting-Ho Lo, Yichuan Gui, Yun Peng)....Pages 166-174
 The Sample Selection Model Based on Improved Autoencoder for the Online Questionnaire Investigation  (Yijie Pang, Shaochun Wu, Honghao Zhu)....Pages 175-184
 Hybrid Collaborative Recommendation via Semi-AutoEncoder  (Shuai Zhang, Lina Yao, Xiwei Xu, Sen Wang, Liming Zhu)....Pages 185-193
 Time Series Classification with Deep Neural Networks Based on Hurst Exponent Analysis  (Xinjuan Li, Jie Yu, Lingyu Xu, Gaowei Zhang)....Pages 194-204
 Deep Learning Model for Sentiment Analysis in Multi-lingual Corpus  (Lisa Medrouk, Anna Pappa)....Pages 205-212
 Differential Evolution Memetic Document Clustering Using Chaotic Logistic Local Search  (Ibraheem Al-Jadir, Kok Wai Wong, Chun Che Fung, Hong Xie)....Pages 213-221
 Completion of High Order Tensor Data with Missing Entries via Tensor-Train Decomposition  (Longhao Yuan, Qibin Zhao, Jianting Cao)....Pages 222-229
 GASOM: Genetic Algorithm Assisted Architecture Learning in Self Organizing Maps  (Ashutosh Saboo, Anant Sharma, Tirtharaj Dash)....Pages 230-239
 A Nonnegative Projection Based Algorithm for Low-Rank Nonnegative Matrix Approximation  (Peitao Wang, Zhaoshui He, Kan Xie, Junbin Gao, Michael Antolovich)....Pages 240-247
 Multi-view Label Space Dimension Reduction  (Qi Hu, Pengfei Zhu, Changqing Zhang, Qinghua Hu)....Pages 248-258
 Large-Margin Supervised Hashing  (Xiaopeng Zhang, Hui Zhang, Yong Chen, Xianglong Liu)....Pages 259-269
 Three-Dimensional Surface Feature for Hyperspectral Imagery Classification  (Sen Jia, Kuilin Wu, Meng Zhang, Jie Hu)....Pages 270-278
 Stochastic Sequential Minimal Optimization for Large-Scale Linear SVM  (Shili Peng, Qinghua Hu, Jianwu Dang, Zhichao Peng)....Pages 279-288
 Robust Kernel Approximation for Classification  (Fanghui Liu, Xiaolin Huang, Cheng Peng, Jie Yang, Nikola Kasabov)....Pages 289-296
 A Multiobjective Multiclass Support Vector Machine Restricting Classifier Candidates Based on k-Means Clustering  (Keiji Tatsumi, Yuki Kawashita, Takahumi Sugimoto)....Pages 297-304
 Multi-label Learning with Label-Specific Feature Selection  (Yan Yan, Shining Li, Zhe Yang, Xiao Zhang, Jing Li, Anyi Wang et al.)....Pages 305-315
 Neural Networks for Efficient Nonlinear Online Clustering  (Yanis Bahroun, Eugénie Hunsicker, Andrea Soltoggio)....Pages 316-324
 Multiple Scale Canonical Correlation Analysis Networks for Two-View Object Recognition  (Xinghao Yang, Weifeng Liu)....Pages 325-334
 A Novel Newton-Type Algorithm for Nonnegative Matrix Factorization with Alpha-Divergence  (Satoshi Nakatsu, Norikazu Takahashi)....Pages 335-344
 Iterative Local Hyperlinear Learning Based Relief for Feature Weight Estimation  (Xiaojuan Huang, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li)....Pages 345-355
 Projected Kernel Recursive Least Squares Algorithm  (Ji Zhao, Hongbin Zhang)....Pages 356-365
 Resource Allocation and Optimization Based on Queuing Theory and BP Network  (Hong Tang, Delu Zeng, Xin Liu, Jiabin Huang, Yinghao Liao)....Pages 366-374
 Linear Dimensionality Reduction for Time Series  (Nikolaos Gianniotis)....Pages 375-383
 An Effective Martin Kernel for Time Series Classification  (Liangang Zhang, Yang Li, Huanhuan Chen)....Pages 384-393
 Text Classification Using Lifelong Machine Learning  (Muhammad Hassan Arif, Xin Jin, Jianxin Li, Muhammad Iqbal)....Pages 394-404
 Wake-Sleep Variational Autoencoders for Language Modeling  (Xiaoyu Shen, Hui Su, Shuzi Niu, Dietrich Klakow)....Pages 405-414
 Educational and Non-educational Text Classification Based on Deep Gaussian Processes  (Huijuan Wang, Jing Zhao, Zeheng Tang, Shiliang Sun)....Pages 415-423
 A Generalized I-ELM Algorithm for Handling Node Noise in Single-Hidden Layer Feedforward Networks  (Hiu Tung Wong, Chi-Sing Leung, Sam Kwong)....Pages 424-433
 Locality-Sensitive Term Weighting for Short Text Clustering  (Chu-Tao Zheng, Sheng Qian, Wen-Ming Cao, Hau-San Wong)....Pages 434-444
 A Comparison of Supervised Machine Learning Algorithms for Classification of Communications Network Traffic  (Pramitha Perera, Yu-Chu Tian, Colin Fidge, Wayne Kelly)....Pages 445-454
 Emotion Classification from Electroencephalogram Using Fuzzy Support Vector Machine  (Anuchin Chatchinarat, Kok Wai Wong, Chun Che Fung)....Pages 455-462
 Regularized Multi-source Matrix Factorization for Diagnosis of Alzheimer’s Disease  (Xiaofan Que, Yazhou Ren, Jiayu Zhou, Zenglin Xu)....Pages 463-473
 Multi-roles Graph Based Extractive Summarization  (Zhibin Chen, Yunming Ye, Xiaofei Xu, Feng Li)....Pages 474-483
 Self-advised Incremental One-Class Support Vector Machines: An Application in Structural Health Monitoring  (Ali Anaissi, Nguyen Lu Dang Khoa, Thierry Rakotoarivelo, Mehri Makki Alamdari, Yang Wang)....Pages 484-496
 Incremental Self-Organizing Maps for Collaborative Clustering  (Denis Maurel, Jérémie Sublime, Sylvain Lefebvre)....Pages 497-504
 Efficient Neighborhood Covering Reduction with Submodular Function Optimization  (Qiang Chen, Xiaodong Yue, Jie Zhou, Yufei Chen)....Pages 505-514
 Online Hidden Conditional Random Fields to Recognize Activity-Driven Behavior Using Adaptive Resilient Gradient Learning  (Ahmad Shahi, Jeremiah D. Deng, Brendon J. Woodford)....Pages 515-525
 Atomic Distance Kernel for Material Property Prediction  (Hirotaka Akita, Yukino Baba, Hisashi Kashima, Atsuto Seko)....Pages 526-533
 Batch Process Fault Monitoring Based on LPGD-kNN and Its Applications in Semiconductor Industry  (Ting Li, Dongsheng Yang, Qinglai Wei, Huaguang Zhang)....Pages 534-544
 Large Scale Image Classification Based on CNN and Parallel SVM  (Zhanquan Sun, Feng Li, Huifen Huang)....Pages 545-555
 Malware Detection Using Deep Transferred Generative Adversarial Networks  (Jin-Young Kim, Seok-Jun Bu, Sung-Bae Cho)....Pages 556-564
 A Grassmannian Approach to Zero-Shot Learning for Network Intrusion Detection  (Jorge Rivero, Bernardete Ribeiro, Ning Chen, Fátima Silva Leite)....Pages 565-575
 Selective Ensemble Random Neural Networks Based on Adaptive Selection Scope of Input Weights and Biases for Building Soft Measuring Model  (Jian Tang, Junfei Qiao, Zhiwei Wu, Jian Zhang, Aijun Yan)....Pages 576-585
 Semi-supervised Coefficient-Based Distance Metric Learning  (Zhangcheng Wang, Ya Li, Xinmei Tian)....Pages 586-596
 Improving Hashing by Leveraging Multiple Layers of Deep Networks  (Xin Luo, Zhen-Duo Chen, Gao-Yuan Du, Xin-Shun Xu)....Pages 597-607
 Accumulator Based Arbitration Model for both Supervised and Reinforcement Learning Inspired by Prefrontal Cortex  (Masahiko Osawa, Yuta Ashihara, Takuma Seno, Michita Imai, Satoshi Kurihara)....Pages 608-617
 Energy-Balanced Distributed Sparse Kernel Machine in Wireless Sensor Network  (Xinrong Ji, Yibin Hou, Cuiqin Hou, Fang Gao, Shulong Wang)....Pages 618-627
 A Hybrid Evolutionary Algorithm for Protein Structure Prediction Using the Face-Centered Cubic Lattice Model  (Daniel Varela, José Santos)....Pages 628-638
 Simulation Study of Physical Reservoir Computing by Nonlinear Deterministic Time Series Analysis  (Toshiyuki Yamane, Seiji Takeda, Daiju Nakano, Gouhei Tanaka, Ryosho Nakane, Akira Hirose et al.)....Pages 639-647
 Targets Detection Based on the Prejudging and Prediction Mechanism  (Xuemei Sun, Jianrong Cao, Chengdong Li, Ya Tian, Shusheng Zhao)....Pages 648-657
 An Image Quality Evaluation Method Based on Joint Deep Learning  (Jiachen Yang, Bin Jiang, Yinghao Zhu, Chunqi Ji, Wen Lu)....Pages 658-665
 Generic Pixel Level Object Tracker Using Bi-Channel Fully Convolutional Network  (Zijing Chen, Jun Li, Zhe Chen, Xinge You)....Pages 666-676
 RBNet: A Deep Neural Network for Unified Road and Road Boundary Detection  (Zhe Chen, Zijing Chen)....Pages 677-687
 Semi-supervised Multi-label Linear Discriminant Analysis  (Yanming Yu, Guoxian Yu, Xia Chen, Yazhou Ren)....Pages 688-698
 Field Support Vector Regression  (Haochuan Jiang, Kaizhu Huang, Rui Zhang)....Pages 699-708
 Deep Mixtures of Factor Analyzers with Common Loadings: A Novel Deep Generative Approach to Clustering  (Xi Yang, Kaizhu Huang, Rui Zhang)....Pages 709-719
 Improve Deep Learning with Unsupervised Objective  (Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain)....Pages 720-728
Front Matter ....Pages 729-729
 Adaptive Dynamic Programming for Direct Current Servo Motor  (Liao Zhu, Ruizhuo Song, Yulong Xie, Junsong Li)....Pages 731-740
 An Event-Triggered Heuristic Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems  (Ziyang Wang, Qinglai Wei, Derong Liu)....Pages 741-748
 Implicit Incremental Natural Actor Critic  (Ryo Iwaki, Minoru Asada)....Pages 749-758
 Influence of the Chaotic Property on Reinforcement Learning Using a Chaotic Neural Network  (Yuki Goto, Katsunari Shibata)....Pages 759-767
 Average Reward Reinforcement Learning for Semi-Markov Decision Processes  (Jiayuan Yang, Yanjie Li, Haoyao Chen, Jiangang Li)....Pages 768-777
 Neuro-control of Nonlinear Systems with Unknown Input Constraints  (Bo Zhao, Xinliang Liu, Derong Liu, Yuanchun Li)....Pages 778-788
 Average Reward Optimization with Multiple Discounting Reinforcement Learners  (Chris Reinke, Eiji Uchibe, Kenji Doya)....Pages 789-800
 Finite Horizon Optimal Tracking Control for Nonlinear Discrete-Time Switched Systems  (Chunbin Qin, Xianxing Liu, Guoquan Liu, Jun Wang, Dehua Zhang)....Pages 801-810
 Large-Scale Bandit Approaches for Recommender Systems  (Qian Zhou, XiaoFang Zhang, Jin Xu, Bin Liang)....Pages 811-821
 Off-Policy Reinforcement Learning for Partially Unknown Nonzero-Sum Games  (Qichao Zhang, Dongbin Zhao, Sibo Zhang)....Pages 822-830
 Consensus Based Distributed Reinforcement Learning for Nonconvex Economic Power Dispatch in Microgrids  (Fangyuan Li, Jiahu Qin, Yu Kang, Wei Xing Zheng)....Pages 831-839
 FMR-GA – A Cooperative Multi-agent Reinforcement Learning Algorithm Based on Gradient Ascent  (Zhen Zhang, Dongqing Wang, Dongbin Zhao, Tingting Song)....Pages 840-848
 Policy Gradient Reinforcement Learning for I/O Reordering on Storage Servers  (Kumar Dheenadayalan, Gopalakrishnan Srinivasaraghavan, V. N. Muralidhara)....Pages 849-859
Front Matter ....Pages 861-861
 Profile-Based Ant Colony Optimization for Energy-Efficient Virtual Machine Placement  (Fares Alharbi, Yu-Chu Tian, Maolin Tang, Md Hasanul Ferdaus)....Pages 863-871
 An Iterative Model for Predicting Film Attendance  (Yang Yue, Ying Li, Tong Jia, Zhonghai Wu)....Pages 872-882
 Estimating VNF Resource Requirements Using Machine Learning Techniques  (Houda Jmila, Mohamed Ibn Khedher, Mounim A. El Yacoubi)....Pages 883-892
 Accelerating Core Decomposition in Large Temporal Networks Using GPUs  (Heng Zhang, Haibo Hou, Libo Zhang, Hongjun Zhang, Yanjun Wu)....Pages 893-903
 Pulsar Bayesian Model: A Comprehensive Astronomical Data Fitting Model  (Hang Yu, Qian Yin, Ping Guo)....Pages 904-911
 Assessing the Performance of Deep Learning Algorithms for Newsvendor Problem  (Yanfei Zhang, Junbin Gao)....Pages 912-921
 A Small Scale Multi-Column Network for Aesthetic Classification Based on Multiple Attributes  (Chaoqun Wan, Xinmei Tian)....Pages 922-932
Back Matter ....Pages 933-936