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23rd ICONIP 2016: Kyoto, Japan
- Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu:
Neural Information Processing - 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part III. Lecture Notes in Computer Science 9949, 2016, ISBN 978-3-319-46674-3
Time Series Analysis
- Shamina Hussein
, Rohitash Chandra
Chaotic Feature Selection and Reconstruction in Time Series Prediction. 3-11 - Meiling Xu, Min Han, Shunshoku Kanae:
L1/2 Norm Regularized Echo State Network for Chaotic Time Series Prediction. 12-19 - Yuriko Yano, Yukari Shirota:
SVD and Text Mining Integrated Approach to Measure Effects of Disasters on Japanese Economics - Effects of the Thai Flooding in 2011. 20-29 - Takaomi Hirata, Takashi Kuremoto, Masanao Obayashi, Shingo Mabu, Kunikazu Kobayashi:
Deep Belief Network Using Reinforcement Learning and Its Applications to Time Series Forecasting. 30-37 - Ravneil Nand
Neuron-Network Level Problem Decomposition Method for Cooperative Coevolution of Recurrent Networks for Time Series Prediction. 38-48
Data-Driven Approach for Extracting Latent Features from Multi-dimensional Data
- Chao Li, Lili Guo, Yu Tao, Jinyu Wang, Lin Qi, Zheng Dou:
Yet Another Schatten Norm for Tensor Recovery. 51-60 - Naoyuki Sato:
Memory of Reading Literature in a Hippocampal Network Model Based on Theta Phase Coding. 61-69 - Shu-Chao Pang
Combining Deep Learning and Preference Learning for Object Tracking. 70-77 - Ali Braytee
A Cost-Sensitive Learning Strategy for Feature Extraction from Imbalanced Data. 78-86 - Namgil Lee, Anh Huy Phan
Nonnegative Tensor Train Decompositions for Multi-domain Feature Extraction and Clustering. 87-95 - Jiaxi Li, Junfu Yin, Yuk Ying Chung, Feng Sha
Hyper-parameter Optimization of Sticky HDP-HMM Through an Enhanced Particle Swarm Optimization. 96-103 - Christian Donner
Approximate Inference Method for Dynamic Interactions in Larger Neural Populations. 104-110 - Eric Janvier, Thierry Couronne, Nistor Grozavu:
Features Learning and Transformation Based on Deep Autoencoders. 111-118 - Jun Kitazono, Nistor Grozavu, Nicoleta Rogovschi, Toshiaki Omori, Seiichi Ozawa:
t-Distributed Stochastic Neighbor Embedding with Inhomogeneous Degrees of Freedom. 119-128
Topological and Graph Based Clustering Methods
- Jing Wang, Zilan Hu, Haixian Wang:
Parcellating Whole Brain for Individuals by Simple Linear Iterative Clustering. 131-139 - Xuan Li, Zilan Hu, Haixian Wang:
Overlapping Community Structure Detection of Brain Functional Network Using Non-negative Matrix Factorization. 140-147 - Jérémie Sublime
Collaborative-Based Multi-scale Clustering in Very High Resolution Satellite Images. 148-155 - Hatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Younès Bennani
Towards Ontology Reasoning for Topological Cluster Labeling. 156-164 - Jean-Philippe Attal, Maria Malek
Overlapping Community Detection Using Core Label Propagation and Belonging Function. 165-174 - Parisa Rastin, Tong Zhang, Guénaël Cabanes
A New Clustering Algorithm for Dynamic Data. 175-182
Reinforcement Learning
- Bo Zhao, Ding Wang, Guang Shi, Derong Liu
Decentralized Stabilization for Nonlinear Systems with Unknown Mismatched Interconnections. 185-192 - Qinglai Wei, Derong Liu
Optimal Constrained Neuro-Dynamic Programming Based Self-learning Battery Management in Microgrids. 193-201 - Kazuyoshi Kato, Koichiro Yamauchi:
Risk Sensitive Reinforcement Learning Scheme Is Suitable for Learning on a Budget. 202-210 - Haijun Zhu, Fei Zhu, Yuchen Fu, Quan Liu, Jianwei Zhai, Cijia Sun, Peng Zhang:
A Kernel-Based Sarsa( \lambda ) Algorithm with Clustering-Based Sample Sparsification. 211-220 - Cijia Sun, Xinghong Ling, Yuchen Fu, Quan Liu, Haijun Zhu, Jianwei Zhai, Peng Zhang:
Sparse Kernel-Based Least Squares Temporal Difference with Prioritized Sweeping. 221-230
Computational Intelligence
- Ngo Xuan Bach, Nguyen Dieu Linh, Tu Minh Phuong:
Vietnamese POS Tagging for Social Media Text. 233-242 - Calin-Adrian Popa
Scaled Conjugate Gradient Learning for Quaternion-Valued Neural Networks. 243-252 - Taisei Ueguchi, Nobuyuki Matsui, Teijiro Isokawa:
Performance of Qubit Neural Network in Chaotic Time Series Forecasting. 253-260 - Aneta Neumann
The Evolutionary Process of Image Transition in Conjunction with Box and Strip Mutation. 261-268 - D. A. Irosh P. Fernando, Björn Rüffer:
A Preliminary Model for Understanding How Life Experiences Generate Human Emotions and Behavioural Responses. 269-278 - Laizhong Cui, Genghui Li
Artificial Bee Colony Algorithm Based on Neighboring Information Learning. 279-289 - Chengdong Li, Li Wang, Zixiang Ding, Guiqing Zhang:
Data-Driven Design of Type-2 Fuzzy Logic System by Merging Type-1 Fuzzy Logic Systems. 290-298 - Gary Wong, Rohitash Chandra
Memetic Cooperative Neuro-Evolution for Chaotic Time Series Prediction. 299-308 - Walayat Hussain
SLA Management Framework to Avoid Violation in Cloud. 309-316 - Toshifumi Minemoto, Teijiro Isokawa, Masaki Kobayashi, Haruhiko Nishimura
Pattern Retrieval by Quaternionic Associative Memory with Dual Connections. 317-325 - Amit Roy Choudhury, Rishabh Jain, Kapil Sharma
A GPU Implementation of a Bat Algorithm Trained Neural Network. 326-334 - Somnuk Phon-Amnuaisuk
Investigating a Dictionary-Based Non-negative Matrix Factorization in Superimposed Digits Classification Tasks. 335-343 - Zhihui Lv, Furao Shen, Jinxi Zhao, Tao Zhu:
A Swarm Intelligence Algorithm Inspired by Twitter. 344-351 - Ayangleima Laishram
Collaborative Filtering, Matrix Factorization and Population Based Search: The Nexus Unveiled. 352-361 - Sascha Saralajew, David Nebel, Thomas Villmann:
Adaptive Hausdorff Distances and Tangent Distance Adaptation for Transformation Invariant Classification Learning. 362-371
Data Mining
- Lei Jia, Zhao Zhang
Semi-supervised Classification by Nuclear-Norm Based Transductive Label Propagation. 375-384 - Jianhua Xu:
Effective and Efficient Multi-label Feature Selection Approaches via Modifying Hilbert-Schmidt Independence Criterion. 385-395 - Qian Wang, Jianhua Chen, Kelin Hu:
Storm Surge Prediction for Louisiana Coast Using Artificial Neural Networks. 396-405 - Wei Liu:
Factorization of Multiple Tensors for Supervised Feature Extraction. 406-414 - Jiapeng Luo, Lei Cao, Jianhua Xu:
A Non-linear Label Compression Coding Method Based on Five-Layer Auto-Encoder for Multi-label Classification. 415-424 - Yuejun Guo
Fast Agglomerative Information Bottleneck Based Trajectory Clustering. 425-433 - Pey Yun Goh
Anomaly Detection Using Correctness Matching Through a Neighborhood Rough Set. 434-441 - Tinghua Wang, Wei Li:
Learning Class-Informed Semantic Similarity. 442-449 - Shenglin Zhao, Michael R. Lyu, Irwin King
Aggregated Temporal Tensor Factorization Model for Point-of-interest Recommendation. 450-458 - Hideaki Ishibashi, Ryota Shinriki, Hirohisa Isogai, Tetsuo Furukawa:
Multilevel-Multigroup Analysis Using a Hierarchical Tensor SOM Network. 459-466 - Amin Khatami, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi:
A Wavelet Deep Belief Network-Based Classifier for Medical Images. 467-474 - Lei Zhu, Jian Jin, Alex J. Cannon
Bayesian Neural Networks Based Bootstrap Aggregating for Tropical Cyclone Tracks Prediction in South China Sea. 475-482 - Kang Fu, Dawei Cheng, Yi Tu, Liqing Zhang:
Credit Card Fraud Detection Using Convolutional Neural Networks. 483-490 - Md. Mamunur Rashid
An Efficient Data Extraction Framework for Mining Wireless Sensor Networks. 491-498 - Haitao Zheng, Xiaoxi Mao:
Incorporating Prior Knowledge into Context-Aware Recommendation. 499-508
Deep Neural Networks
- Chao Ma, Yun Gu, Wei Liu, Jie Yang, Xiangjian He
Unsupervised Video Hashing by Exploiting Spatio-Temporal Feature. 511-518 - Erik Barrow, Mark Eastwood, Chrisina Jayne
Selective Dropout for Deep Neural Networks. 519-528 - Sheng Luo, Haojin Yang, Cheng Wang, Xiaoyin Che, Christoph Meinel:
Real-Time Action Recognition in Surveillance Videos Using ConvNets. 529-537 - Satoshi Suzuki, Hayaru Shouno:
An Architecture Design Method of Deep Convolutional Neural Network. 538-546 - Jonghong Kim, Gil-Jin Jang, Minho Lee:
Investigation of the Efficiency of Unsupervised Learning for Multi-task Classification in Convolutional Neural Network. 547-554 - Li Zhang, Ya-Ping Lu, Zhao Zhang
Sparse Auto-encoder with Smoothed l_1 Regularization. 555-563 - Weichen Xue, Haohua Zhao, Liqing Zhang:
Encoding Multi-resolution Two-Stream CNNs for Action Recognition. 564-571 - Kien Tuong Phan, Tomás Henrique Maul, Tuong Thuy Vu, Weng Kin Lai:
Improving Neural Network Generalization by Combining Parallel Circuits with Dropout. 572-580 - Sungphill Moon, Youngbin Park, Il Hong Suh:
Predicting Multiple Pregrasping Poses by Combining Deep Convolutional Neural Networks with Mixture Density Networks. 581-590 - Gabriella Contardo
Recurrent Neural Networks for Adaptive Feature Acquisition. 591-599 - Janki Mehta, Kavya Gupta, Anupriya Gogna, Angshul Majumdar, Saket Anand:
Stacked Robust Autoencoder for Classification. 600-607 - Zhao Liu, Yang He, Yi Xie, Hongyan Gu, Chao Liu, Mingtao Pei:
Pedestrian Detection Using Deep Channel Features in Monocular Image Sequences. 608-615 - Takayuki Semitsu, Xiongxin Zhao, Wataru Matsumoto:
Heterogeneous Multi-task Learning on Non-overlapping Datasets for Facial Landmark Detection. 616-625 - Yu Rong, Xiaolin Hu:
Fuzzy String Matching Using Sentence Embedding Algorithms. 626-633 - Hyung-Bae Jeon
Initializing Deep Learning Based on Latent Dirichlet Allocation for Document Classification. 634-641
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