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ORCID25th ICONIP 2018: Siem Reap, Cambodia
- Long Cheng, Andrew Chi-Sing Leung, Seiichi Ozawa:
Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11301, Springer 2018, ISBN 978-3-030-04166-3
Deep Neural Networks
- D. John Lewis, Vanika Singhal, Angshul Majumdar:
Adaptive Deep Dictionary Learning for MRI Reconstruction. 3-11 - Xingyu Chen, Fanghui Liu, Enmei Tu, Longbing Cao
, Jie Yang:
Deep-PUMR: Deep Positive and Unlabeled Learning with Manifold Regularization. 12-20 - Changsheng Lu, Haotian Wang, Chaochen Gu, Kaijie Wu, Xinping Guan:
Viewpoint Estimation for Workpieces with Deep Transfer Learning from Cold to Hot. 21-32 - Yanling Tian, Weitong Zhang, Qieshi Zhang, Jun Cheng, Pengyi Hao, Gang Lu:
Co-consistent Regularization with Discriminative Feature for Zero-Shot Learning. 33-45 - Sunny Verma, Wei Liu, Chen Wang, Liming Zhu:
Hybrid Networks: Improving Deep Learning Networks via Integrating Two Views of Images. 46-58 - Katsuyuki Hagiwara:
On a Fitting of a Heaviside Function by Deep ReLU Neural Networks. 59-69 - Wenwen Ye, Zheng Qin, Xu Li:
Deep Tag Recommendation Based on Discrete Tensor Factorization. 70-82 - Tianying Xie, Yantao Li:
Efficient Integer Vector Homomorphic Encryption Using Deep Learning for Neural Networks. 83-95 - Sihui Luo, Yezhou Yang, Yanling Yin, Chengchao Shen, Ya Zhao, Mingli Song:
DeepSIC: Deep Semantic Image Compression. 96-106 - Qu Lu, Wantao Liu, Jizhong Han, Jinrong Guo:
Multi-stage Gradient Compression: Overcoming the Communication Bottleneck in Distributed Deep Learning. 107-119 - Xiang Li, Chao Ma, Jie Yang, Yu Qiao:
Teach to Hash: A Deep Supervised Hashing Framework with Data Selection. 120-129 - Shiliang Sun, Qiuyang Liu:
Multi-view Deep Gaussian Processes. 130-139 - Xu Li, Xu Chen, Zheng Qin:
Deep Collaborative Filtering Combined with High-Level Feature Generation on Latent Factor Model. 140-151 - Fuming Qu, Jinhai Liu, Xiaowei Hong, Yu Zhang:
Data Imputation of Wind Turbine Using Generative Adversarial Nets with Deep Learning Models. 152-161 - Huafeng Wu, Yawen Wu, Liyan Sun, Congbo Cai, Yue Huang, Xinghao Ding:
A Deep Ensemble Network for Compressed Sensing MRI. 162-171 - Parham M. Kebria, Abbas Khosravi, Syed Moshfeq Salaken, Ibrahim Hossain, Hussain Mohammed Dipu Kabir, Afsaneh Koohestani, Roohallah Alizadehsani, Saeid Nahavandi:
Deep Imitation Learning: The Impact of Depth on Policy Performance. 172-181 - Kai Yao, Kaizhu Huang, Rui Zhang, Amir Hussain:
Improving Deep Neural Network Performance with Kernelized Min-Max Objective. 182-191 - Yang Qian, Hong Qiao, Jing Xu:
Understanding Deep Neural Network by Filter Sensitive Area Generation Network. 192-203 - Kazuhiro Murakami, Koichi Moriyama, Atsuko Mutoh, Tohgoroh Matsui, Nobuhiro Inuzuka:
Accelerating Deep Q Network by Weighting Experiences. 204-213 - Tulika Saha, Sriparna Saha, Pushpak Bhattacharyya:
Exploring Deep Learning Architectures Coupled with CRF Based Prediction for Slot-Filling. 214-225 - Xuhong Wei, Yefei Chen, Jianbo Su:
Domain Adaptation via Identical Distribution Across Models and Tasks. 226-237 - Shenshen Gu, Yue Yang:
A Pointer Network Based Deep Learning Algorithm for the Max-Cut Problem. 238-248
Convolution Neural Networks
- Xiao Liu, Xudong Yang:
Multi-stream with Deep Convolutional Neural Networks for Human Action Recognition in Videos. 251-262 - Bing-Jhang Lin, Ting-Chen Tsan, Tzu-Chia Tung, You-Hsien Lee, Chiou-Shann Fuh:
Use 3D Convolutional Neural Network to Inspect Solder Ball Defects. 263-274 - Shuiquan Wang, Zhengxin Cheng, Liang Chang, Xuejun Qiao, Fuqing Duan:
User-Invariant Facial Animation with Convolutional Neural Network. 275-283 - Hao Wang, Dongsheng Yang, Yongheng Pang, Ting Li, Bo Hu:
An Approach for Feature Extraction and Diagnosis of Motor Rotor Bearing Based on Convolution Neural Network. 284-296 - Wuya Chen, Xiaojun Quan, Chengbo Chen:
Gated Convolutional Networks for Commonsense Machine Comprehension. 297-306 - Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yusof:
Cursive Scene Text Analysis by Deep Convolutional Linear Pyramids. 307-318 - Jiarong Song, Zhong Yang, Qiuyan Zhang, Ting Fang, Guoxiong Hu, Jiaming Han, Cong Chen:
Human Action Recognition with 3D Convolution Skip-Connections and RNNs. 319-331 - Hidenori Ide, Takio Kurita:
Convolutional Neural Network with Discriminant Criterion for Input of Each Neuron in Output Layer. 332-339 - Yuki Sunaga, Ryo Natsuaki, Akira Hirose:
Proposal of Complex-Valued Convolutional Neural Networks for Similar Land-Shape Discovery in Interferometric Synthetic Aperture Radar. 340-349 - Jinhua Song, Yang Gao, Hao Wang:
Feature Learning and Transfer Performance Prediction for Video Reinforcement Learning Tasks via a Siamese Convolutional Neural Network. 350-361 - Youngjoo Seo, Michaël Defferrard, Pierre Vandergheynst, Xavier Bresson:
Structured Sequence Modeling with Graph Convolutional Recurrent Networks. 362-373 - Xianyi Zhu, Yi Xiao, Yan Zheng:
Part-Level Sketch Segmentation and Labeling Using Dual-CNN. 374-384 - Zhe Wang, Wenhuan Lu, Yuqing He, Naixue Xiong, Jianguo Wei:
RE-CNN: A Robust Convolutional Neural Networks for Image Recognition. 385-393 - Guoqiang Zhong, Haizhen Wang, Wencong Jiao:
MusicCNNs: A New Benchmark on Content-Based Music Recommendation. 394-405 - Ruiguo Yu, Xuzhou Fu, Han Jiang, Chenhan Wang, Xuewei Li, Mankun Zhao, Xiang Ying, Hongqian Shen:
Remote Sensing Image Segmentation by Combining Feature Enhanced with Fully Convolutional Network. 406-415 - Xiao Sun, Xiaohu Ma, Zhiwen Ni, Lina Bian:
A New LSTM Network Model Combining TextCNN. 416-424 - Mengting Xiong, Ruixuan Li, Yuhua Li, Qi Yang:
Self-inhibition Residual Convolutional Networks for Chinese Sentence Classification. 425-436
Recurrent Neural Networks
- Li Cheng, Xiao-Yuan Jing, Xiaoke Zhu, Fumin Qi, Fei Ma, Xiaodong Jia, Liang Yang, Chunhe Wang:
A Hybrid 2D and 3D Convolution Based Recurrent Network for Video-Based Person Re-identification. 439-451 - Son N. Tran, Qing Zhang, Anthony N. Nguyen, Xuan-Son Vu, Ngo Tung Son:
Improving Recurrent Neural Networks with Predictive Propagation for Sequence Labelling. 452-462 - Chunlin Sha, Hongyong Zhao:
Design of Synthesizing Multi-valued High-Capacity Auto-associative Memories Based on Complex-Valued Networks. 463-475 - Adarsh Karan Sharma, Vishal Prasad, Roneel Kumar, Anuraganand Sharma:
Analysis on the Occurrence of Tropical Cyclone in the South Pacific Region Using Recurrent Neural Network with LSTM. 476-486 - Tu Minh Phuong, Tran Cong Thanh, Ngo Xuan Bach:
Combining User-Based and Session-Based Recommendations with Recurrent Neural Networks. 487-498 - Yan Li, Ryan Wen Liu, Quandang Ma, Jingxian Liu:
EMD-Based Recurrent Neural Network with Adaptive Regrouping for Port Cargo Throughput Prediction. 499-510 - Yang Song, Wenxin Hu, Qin Chen, Qinmin Hu, Liang He:
Enhancing the Recurrent Neural Networks with Positional Gates for Sentence Representation. 511-521
Spiking Neural Networks
- Xiaoliang Xu, Wensi Lu, Qiming Fang, Yixing Xia:
A Visual Recognition Model Based on Hierarchical Feature Extraction and Multi-layer SNN. 525-534 - Sou Nobukawa, Haruhiko Nishimura, Teruya Yamanishi:
Skewed and Long-Tailed Distributions of Spiking Activity in Coupled Network Modules with Log-Normal Synaptic Weight Distribution. 535-544 - Qiang Yu, Longbiao Wang, Jianwu Dang:
Efficient Multi-spike Learning with Tempotron-Like LTP and PSD-Like LTD. 545-554 - Hiroaki Uchida, Toshimichi Saito:
A Ladder-Type Digital Spiking Neural Network. 555-562 - Nobuhiko Wagatsuma, Hirotoshi Konno:
The Effects of Feedback Signals Mediated by NMDA-Type Synapses for Modulating Border-Ownership Selective Neurons in Visual Cortex. 563-570 - Durgesh Nandini, Elisa Capecci, Lucien Koefoed, Ibai Laña, Gautam Kishore Shahi, Nikola K. Kasabov:
Modelling and Analysis of Temporal Gene Expression Data Using Spiking Neural Networks. 571-581 - Dong Niu, Dengju Li, Rui Yan, Huajin Tang:
A Gesture Recognition Method Based on Spiking Neural Networks for Cognition Development. 582-593 - Jean Benoit Héroux, Naoki Kanazawa, Daiju Nakano:
Delayed Feedback Reservoir Computing with VCSEL. 594-602 - Pavel Tolmachev, Rishi R. Dhingra, Michael Pauley, Mathias Dutschmann, Jonathan H. Manton:
Modeling the Respiratory Central Pattern Generator with Resonate-and-Fire Izhikevich-Neurons. 603-615 - Akira Hirose, Gouhei Tanaka, Seiji Takeda, Toshiyuki Yamane, Hidetoshi Numata, Naoki Kanazawa, Jean Benoit Héroux, Daiju Nakano, Ryosho Nakane:
Proposal of Carrier-Wave Reservoir Computing. 616-624 - Jack Dray, Elisa Capecci, Nikola K. Kasabov:
Spiking Neural Networks for Cancer Gene Expression Time Series Modelling and Analysis. 625-634 - Toshiyuki Yamane, Hidetoshi Numata, Jean Benoit Héroux, Naoki Kanazawa, Seiji Takeda, Gouhei Tanaka, Ryosho Nakane, Akira Hirose, Daiju Nakano:
Dimensionality Reduction by Reservoir Computing and Its Application to IoT Edge Computing. 635-643
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