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IJCNN 2017: Anchorage, AK, USA
- 2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017. IEEE 2017, ISBN 978-1-5090-6182-2
- Alex Graves:
Plenary talks: Frontiers in recurrent neural network research. - Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King
, Michael R. Lyu:
Simple and efficient parallelization for probabilistic temporal tensor factorization. 1-8 - Mahesh Mohan, Claire Monteleoni
:
Exploiting sparsity to improve the accuracy of Nyström-based large-scale spectral clustering. 9-16 - Aloisio Dourado
, Rommel N. Carvalho, Gustavo Cordeiro Galvão Van Erven:
Brazil's Bolsa Familia and young adult workers: A parallel RDD approach to large datasets. 17-24 - Zhichao Jin, Lili Guo, Daqi Gao:
Advanced pseudo-inverse linear discriminants for the improvement of classification accuracies. 25-30 - Pablo V. A. Barros
, Stefan Wermter
:
A self-organizing model for affective memory. 31-38 - Anja Kristina Philippsen
, René Felix Reinhart, Britta Wrede
, Petra Wagner
:
Hyperarticulation aids learning of new vowels in a developmental speech acquisition model. 39-45 - Ricardo de Azambuja
, Daniel Hernández García, Martin F. Stoelen, Angelo Cangelosi
:
Neurorobotic simulations on the degradation of multiple column liquid state machines. 46-51 - Bhargav Teja Nallapu, Bapi Raju Surampudi
, Nicolas P. Rougier
:
The art of scaling up : A computational account on action selection in basal ganglia. 52-58 - Hongwei Mo, Chaomin Luo
, Gene Eu Jan:
EEG classification based on sparse representation. 59-62 - Daniel Moreira Cestari, João Luís Garcia Rosa:
Stochastic and deterministic stationarity analysis of EEG data. 63-70 - Noura Al Moubayed
, Bashar Awwad Shiekh Hasan, Andrew Stephen McGough
:
Enhanced detection of movement onset in EEG through deep oversampling. 71-78 - Binh Nguyen
, Dang Nguyen, Wanli Ma, Dat Tran
:
Investigating the possibility of applying EEG lossy compression to EEG-based user authentication. 79-85 - Yonghua Yin, Erol Gelenbe:
Single-cell based random neural network for deep learning. 86-93 - Jan Y. K. Chan, Alex Po Leung:
Efficient k-means++ with random projection. 94-100 - Deyan Tang, Siwang Zhou, Wenjuan Yang, Yonghe Liu:
A two-phase representation based face recognition method with 'random-filtering' virtual samples. 101-107 - Olaoluwa Adigun
, Bart Kosko:
Using noise to speed up video classification with recurrent backpropagation. 108-115 - Tayyar Rzayev, Saber Moradi
, David H. Albonesi, Rajit Manohar:
DeepRecon: Dynamically reconfigurable architecture for accelerating deep neural networks. 116-124 - Çaglar Gülçehre
, Jose Sotelo, Marcin Moczulski, Yoshua Bengio:
A robust adaptive stochastic gradient method for deep learning. 125-132 - Peiqi Wang, Zhenyu Liu, Haixia Wang, Dongsheng Wang:
Data-centric computation mode for convolution in deep neural networks. 133-139 - Weite Li, Jinglu Hu:
A multilayer gated bilinear classifier: From optimizing a deep rectified network to a support vector machine. 140-146 - Ryotaro Kamimura:
Selective and cooperative potentiality maximization for improving interpretation and generalization. 147-153 - Jirí Síma:
Neural networks between integer and rational weights. 154-161 - Youwei Lu, Shogo Okada
, Katsumi Nitta:
Weibull partition models with applications to hidden semi-Markov models. 162-169 - Ajin George Joseph, Shalabh Bhatnagar
:
A model based search method for prediction in model-free Markov decision process. 170-177 - Qikui Zhu, Bo Du, Baris Turkbey, Peter L. Choyke, Pingkun Yan
:
Deeply-supervised CNN for prostate segmentation. 178-184 - Xiaobo Liu, Zhentao Liu, Guangjun Wang, Zhihua Cai, Harry Zhang:
A weighted-resampling based transfer learning algorithm. 185-190 - Yang Li
, Chengjun Li, Gang Liu, Wei Long:
Fitness with diversity information for selection of evolutionary algorithms. 191-197 - Alan William Dougherty
, Jane You:
A kernel-based adaptive fuzzy c-means algorithm for M-FISH image segmentation. 198-205 - Daniel S. Levine
, Kay-Yut Chen, Bakur AlQaudi:
Neural network modeling of business decision making. 206-213 - Xiang Wu, Juyang Weng:
Actions as contexts. 214-221 - Leonid I. Perlovsky:
"Hard science" of psychology, physics of the mind. 222-227 - Raymond Noack, Chetan Manjesh, Miklós Ruszinkó, Hava T. Siegelmann, Robert Kozma
:
Resting state neural networks and energy metabolism. 228-235 - Hugo A. Guillen-Ramirez
, José D. Colbes, Carlos A. Brizuela, Israel M. Martínez-Pérez:
Accurate classification of immunomodulatory RNA sequences. 236-241 - Arthur Shi, Xiao-Hua Yu
:
Structural damage assessment using artificial immune systems and wavelet decomposition. 242-247 - Edwin German Maldonado Tavara, Marley M. B. R. Vellasco, Bruno A. C. Horta, Fábio L. Custódio:
Feature importance calculation and protein quality assessment on the decoy discrimination problem. 248-255 - Chong-Ya Li, Lin Zhu, Wenzheng Bao, Yong-Li Jiang, Chang-An Yuan, De-Shuang Huang:
Convex local sensitive low rank matrix approximation. 256-261 - Mohammad Maminur Islam, Mohammad Khan Al Farabi, Deepak Venugopal:
Adaptive blocked Gibbs sampling for inference in probabilistic graphical models. 262-269 - Giulio Bottegal
, Johan A. K. Suykens
:
Probabilistic matrix factorization from quantized measurements. 270-277 - Fani Tsapeli, Peter Tiño
, Mirco Musolesi
:
Probabilistic matching: Causal inference under measurement errors. 278-285 - Julien-Charles Levesque, Audrey Durand, Christian Gagné
, Robert Sabourin:
Bayesian optimization for conditional hyperparameter spaces. 286-293 - Ying Xie, Linh Le, Jie Hao:
Unsupervised deep kernel for high dimensional data. 294-299 - Alexander Matyasko, Lap-Pui Chau
:
Margin maximization for robust classification using deep learning. 300-307 - Gaurav Pandey, Ambedkar Dukkipati:
Variational methods for conditional multimodal deep learning. 308-315 - Luca Oneto
, Nicolò Navarin
, Alessandro Sperduti, Davide Anguita
:
Deep graph node kernels: A convex approach. 316-323 - Noah Lewis, Sergey M. Plis, Vince D. Calhoun:
Cooperative learning: Decentralized data neural network. 324-331 - Mariana de Araujo Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin:
On the characterization of the Oracle for dynamic classifier selection. 332-339 - Stephen R. Marsland, Carole J. Twining:
Data analysis in Weitzenbock space. 340-347 - Guangliang Chen, Wilson Florero-Salinas, Dan Li:
Simple, fast and accurate hyper-parameter tuning in Gaussian-kernel SVM. 348-355 - Guanjin Wang
, Guangquan Zhang, Kup-Sze Choi
, Kin-Man Lam, Jie Lu:
An output-based knowledge transfer approach and its application in bladder cancer prediction. 356-363 - Qinxue Meng, Daniel R. Catchpoole, David Skillicom, Paul J. Kennedy
:
Relational autoencoder for feature extraction. 364-371 - Dewei Li
, Dongkuan Xu
, Jingjing Tang
, Yingjie Tian
:
Metric learning for multi-instance classification with collapsed bags. 372-379 - Fujin Zhu
, Guangquan Zhang, Jie Lu, Donghua Zhu:
First-order causal process for causal modelling with instantaneous and cross-temporal relations. 380-387 - Ruiqi Hu, Celina Ping Yu, Sai-Fu Fung
, Shirui Pan
, Haishuai Wang, Guodong Long:
Universal network representation for heterogeneous information networks. 388-395 - Karl Thurnhofer-Hemsi
, Ezequiel López-Rubio
, Enrique Domínguez, Rafael Marcos Luque Baena
, Miguel A. Molina-Cabello:
Panoramic background modeling for PTZ cameras with competitive learning neural networks. 396-403 - Miguel A. Molina-Cabello, Ezequiel López-Rubio
, Rafael Marcos Luque Baena
, Enrique Domínguez, Karl Thurnhofer-Hemsi
:
Neural controller for PTZ cameras based on nonpanoramic foreground detection. 404-411 - Francisco Gomez-Donoso
, Alberto Garcia-Garcia
, José García Rodríguez, Sergio Orts-Escolano, Miguel Cazorla
:
LonchaNet: A sliced-based CNN architecture for real-time 3D object recognition. 412-418 - Xiao-Hu Zhou, Gui-Bin Bian, Xiaoliang Xie, Zeng-Guang Hou, Jian-Long Hao:
Prediction of natural guidewire rotation using an sEMG-based NARX neural network. 419-424 - Sergiu Oprea, Alberto Garcia-Garcia
, José García Rodríguez, Sergio Orts-Escolano, Miguel Cazorla
:
A recurrent neural network based Schaeffer gesture recognition system. 425-431 - Daesik Kim, Myunggi Lee, Nojun Kwak:
Matching video net: Memory-based embedding for video action recognition. 432-438 - Matthias Kerzel, Moaaz Ali, Hwei Geok Ng, Stefan Wermter
:
Haptic material classification with a multi-channel neural network. 439-446 - Jayanta K. Dutta, Bonny Banerjee
:
Variation in classification accuracy with number of glimpses. 447-453 - Anthony D. Rhodes, Max H. Quinn, Melanie Mitchell:
Fast on-line kernel density estimation for active object localization. 454-462 - Allah Bux Sargano
, Xiaofeng Wang, Plamen Angelov
, Zulfiqar Habib:
Human action recognition using transfer learning with deep representations. 463-469 - Yang Lin, Li Yang, Zhouchen Lin, Tong Lin, Hongbin Zha:
Factorization for projective and metric reconstruction via truncated nuclear norm. 470-477 - Jing Wang, Feng Tian, Chang Hong Liu, Hongchuan Yu, Xiao Wang, Xianchao Tang:
Robust nonnegative matrix factorization with ordered structure constraints. 478-485 - Shudong Huang, Zenglin Xu, Fei Wang:
Nonnegative matrix factorization with adaptive neighbors. 486-493 - Xiaokai Wei, Bokai Cao, Philip S. Yu:
Multi-view unsupervised feature selection by cross-diffused matrix alignment. 494-501 - Wenquan Wang, Ya Zhang
, Jinglu Hu:
Distance metric learning with eigenvalue fine tuning. 502-509 - Ahmed Hussein, Eyad Elyan, Mohamed Medhat Gaber
, Chrisina Jayne:
Deep reward shaping from demonstrations. 510-517 - Navid Kardan, Kenneth O. Stanley:
Mitigating fooling with competitive overcomplete output layer neural networks. 518-525 - Timothy J. Draelos, Nadine E. Miner, Christopher C. Lamb, Jonathan A. Cox, Craig M. Vineyard, Kristofor D. Carlson, William M. Severa, Conrad D. James, James B. Aimone
:
Neurogenesis deep learning: Extending deep networks to accommodate new classes. 526-533 - Plamen Angelov, Xiaowei Gu, José C. Príncipe:
Fast feedforward non-parametric deep learning network with automatic feature extraction. 534-541 - Steven Gutstein, Ethan Stump:
The effects of output codes on transfer learning in a deep convolutional neural net. 542-548 - Xiaofeng Ma, Tomojit Ghosh, Michael Kirby:
A sequential simplex algorithm for automatic data and center selecting radial basis functions. 549-556 - Fredrik Sandin, Sergio Martin del Campo
:
Dictionary learning with equiprobable matching pursuit. 557-564 - Jacek Mandziuk
, Adam Zychowski
, Lipo Wang:
A TCART-M - Tuned CARTesian-based error function for multilabel classification with the MLP. 565-572 - Eunelson Jose da Silva Junior, Alceu S. Britto Jr., Luiz S. Oliveira, Fabrício Enembreck
, Robert Sabourin, Alessandro L. Koerich:
A two-step cascade classification method. 573-580 - Iuri Bonna M. de Abreu, Rafael Gomes Mantovani
, Ricardo Cerri
:
Incorporating instance correlations in multi-label classification via label-space. 581-588 - Wentao Li
, Min Gao
, Wenge Rong, Junhao Wen, Qingyu Xiong, Ruixi Jia, Tong Dou:
Social recommendation using Euclidean embedding. 589-595 - Dongjing Wang
, Guandong Xu, ShuiGuang Deng
:
Music recommendation via heterogeneous information graph embedding. 596-603 - Ralph Jose Rassweiler Filho, Jonatas Wehrmann
, Rodrigo C. Barros
:
Leveraging deep visual features for content-based movie recommender systems. 604-611 - Guangzhen Liu, Peng Han, Yulei Niu, Wenwu Yuan, Zhiwu Lu
, Ji-Rong Wen:
Graph-boosted convolutional neural networks for semantic segmentation. 612-618 - Liqiang Wang, Yafang Wang, Bin Liu, Lirong He, Shijun Liu, Gerard de Melo, Zenglin Xu:
Link prediction by exploiting network formation games in exchangeable graphs. 619-626 - Nikhil Churamani
, Matthias Kerzel, Erik Strahl, Pablo V. A. Barros
, Stefan Wermter
:
Teaching emotion expressions to a human companion robot using deep neural architectures. 627-234 - Tiffany Hwu, Jacob Isbell, Nicolas Oros, Jeffrey L. Krichmar:
A self-driving robot using deep convolutional neural networks on neuromorphic hardware. 635-641 - Randall Reams, Yoonsuck Choe:
Emergence of tool construction in an articulated limb controlled by evolved neural circuits. 642-649 - Petr Cizek, Pavel Milicka, Jan Faigl
:
Neural based obstacle avoidance with CPG controlled hexapod walking robot. 650-656 - Minkyu Choi
, Jun Tani:
Predictive coding for dynamic vision: Development of functional hierarchy in a multiple spatio-temporal scales RNN model. 657-664 - Neha Tilak, Sunil Gandhi, Tim Oates:
Visual entity linking. 665-672 - Raymond Pavloski, Charles Lamb:
Simulations support the simple hypothesis that persistent coupling of electrochemical activity in recurrent network neurons is an objective signature of visual object unity. 673-680 - Weijiang Feng, Naiyang Guan, Yuan Li, Xiang Zhang, Zhigang Luo:
Audio visual speech recognition with multimodal recurrent neural networks. 681-688 - Amir Madany Mamlouk, Martin Haker, Thomas Martinetz:
Perception space analysis: From color vision to odor perception. 689-696 - A. Ravishankar Rao:
The modulation of synchronization by tuning functions and its effect on multi-sensory perception. 697-704 - Frank Hung-Fat Leung
, Yuechi Jiang
:
Using regularized fisher discriminant analysis to improve the performance of Gaussian supervector in session and device identification. 705-712 - Raghad Al-Shabandar, Abir Hussain, Andy Laws
, Robert Keight, Janet Lunn, Naeem Radi:
Machine learning approaches to predict learning outcomes in Massive open online courses. 713-720 - Paolo Ciancarini
, Francesco Poggi
, Davide Rossi, Alberto Sillitti:
Analyzing and predicting concurrency bugs in open source systems. 721-728 - Christina Klüver
, Jürgen Klüver, Dirk Zinkhan:
A self-enforcing neural network as decision support system for air traffic control based on probabilistic weather forecasts. 729-736 - Zili Zhou, Guandong Xu, Wenhao Zhu, Jinyan Li, Wu Zhang:
Structure embedding for knowledge base completion and analytics. 737-743 - Manoj Sharma, Santanu Chaudhury, Brejesh Lall:
Deep learning based frameworks for image super-resolution and noise-resilient super-resolution. 744-751 - Lukas Cavigelli
, Pascal Hager, Luca Benini
:
CAS-CNN: A deep convolutional neural network for image compression artifact suppression. 752-759 - François De La Bourdonnaye, Céline Teulière, Thierry Chateau, Jochen Triesch:
Learning of binocular fixations using anomaly detection with deep reinforcement learning. 760-767 - Roman Ilin, Thomas Watson, Robert Kozma
:
Abstraction hierarchy in deep learning neural networks. 768-774 - David Fagan, Michael Fenton, David Lynch, Stepán Kucera, Holger Claussen
, Michael O'Neill
:
Deep learning through evolution: A hybrid approach to scheduling in a dynamic environment. 775-782 - Calin-Adrian Popa
:
Octonion-valued bidirectional associative memories. 783-787 - Carlos Villaseñor
, Nancy Arana-Daniel
, Alma Y. Alanis
, Carlos López-Franco
:
Hyperellipsoidal neuron. 788-794 - Fernando Arce, Erik Zamora
, Humberto Sossa
:
Dendrite Ellipsoidal Neuron. 795-802 - Yoshihiro Osakabe, Shigeo Sato
, Hisanao Akima, Masao Sakuraba
, Mitsunaga Kinjo:
Neuro-inspired quantum associative memory using adiabatic hamiltonian evolution. 803-807 - Simeng Liu, Yanfeng Sun, Yongli Hu
, Junbin Gao
, Fujiao Ju, Baocai Yin:
Matrix variate RBM model with Gaussian distributions. 808-815 - Calin-Adrian Popa
:
Complex-valued convolutional neural networks for real-valued image classification. 816-822 - Andrii Shalaginov:
Evolutionary optimization of on-line multilayer perceptron for similarity-based access control. 823-830 - Shigang Yue, Qinbing Fu:
Modeling direction selective visual neural network with ON and OFF pathways for extracting motion cues from cluttered background. 831-838 - Yinyan Zhang
, Shuai Li, Xin Luo
, Mingsheng Shang:
A dynamic neural controller for adaptive optimal control of permanent magnet DC motors. 839-844 - Andrew Pulver, Siwei Lyu:
LSTM with working memory. 845-851 - Filippo Maria Bianchi, Lorenzo Livi, Robert Jenssen, Cesare Alippi:
Critical echo state network dynamics by means of Fisher information maximization. 852-858 - Sadaf Gulshad, Dick Sigmund
, Jong-Hwan Kim:
Learning to reproduce stochastic time series using stochastic LSTM. 859-866 - Jonathan A. Cox:
Parameter compression of recurrent neural networks and degradation of short-term memory. 867-872 - Xiao Huang, Wei Wu, Peijie Yin, Hong Qiao:
Improving learning efficiency of recurrent neural network through adjusting weights of all layers in a biologically-inspired framework. 873-879