IEEE TNNLS

Cost-effective Object Detection: Active Sample Mining with Switchable Selection Criteria

Keze Wang, Liang Lin, Xiaopeng Yan, Ziliang Chen, Dongyu Zhang, Lei Zhang

Comments Automatically determining whether an unlabeled sample should be manually annotated or pseudo-labeled via a novel self-learning process (Accepted by TNNLS 2018) The source code is available at http://kezewang.com/codes/ASM_ver1.zip

Rethinking the Artificial Neural Networks: A Mesh of Subnets with a Central Mechanism for Storing and Predicting the Data

Usman Ahmad, Hong Song, Awais Bilal, Shahid Mahmood, Asad Ullah, Uzair Saeed

Comments SUBMITTED TO IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

Fast Matrix Factorization with Non-Uniform Weights on Missing Data

Xiangnan He, Jinhui Tang, Xiaoyu Du, Richang Hong, Tongwei Ren, Tat-Seng Chua

Comments IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

Stochastic Graphlet Embedding

Anjan Dutta, Hichem Sahbi

Comments Accepted in IEEE TNNLS (14 pages, 7 figures, 10 tables)

Journal ref IEEE TNNLS, pages 1-14, 2018

Dynamic Feature Acquisition Using Denoising Autoencoders

Mohammad Kachuee, Sajad Darabi, Babak Moatamed, Majid Sarrafzadeh

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2018

Multiview Based 3D Scene Understanding On Partial Point Sets

Ye Zhu, Sven Ewan Shepstone, Pablo Martínez-Nuevo, Miklas Strøm Kristoffersen, Fabien Moutarde, Zhuang Fu

Comments This paper has been submitted to IEEE Transactions on Neural Networks and Learning Systems

A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image Classification

Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems, 2018

Stochastic Conjugate Gradient Algorithm with Variance Reduction

Xiao-Bo Jin, Xu-Yao Zhang, Kaizhu Huang, Guang-Gang Geng

Comments 10 pages, 4 figures, appeared in IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, CGVR algorithm is available on github: https://github.com/xbjin/cgvr

Journal ref IEEE Transactions on Neural Networks and Learning Systems,2018

Training Passive Photonic Reservoirs with Integrated Optical Readout

Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre

Comments Accepted for publication in IEEE Transactions on Neural Networks and Learning Systems (TNNLS-2017-P-8539.R1), copyright 2018 IEEE. This research was funded by the EU Horizon 2020 PHRESCO Grant (Grant No. 688579) and the BELSPO IAP P7-35 program Photonics@be. 11 pages, 9 figures

A Novel Deep Neural Network Architecture for Mars Visual Navigation

Jiang Zhang, Yuanqing Xia, Ganghui Shen

Comments Submitted to IEEE Transactions on Neural Networks and Learning Systems on May 17th, 2018

Magnitude Bounded Matrix Factorisation for Recommender Systems

Shuai Jiang, Kan Li, Richard Yi Da Xu

Comments 11 pages, 6 figures, TNNLS

First-spike based visual categorization using reward-modulated STDP

Milad Mozafari, Saeed Reza Kheradpisheh, Timothée Masquelier, Abbas Nowzari-Dalini, Mohammad Ganjtabesh

Comments supplementary materials are added, Caltech face/motorbike demonstration figure is updated, some parts of the main manuscript are moved to the supplementary materials, additional network analysis and performance comparison with deep nets are added

Journal ref Mozafari, Milad, et al. "First-Spike-Based Visual Categorization Using Reward-Modulated STDP". IEEE Transactions on Neural Networks and Learning Systems (2018). DOI: https://doi.org/10.1109/TNNLS.2018.2826721

Neural Decomposition of Time-Series Data for Effective Generalization

Luke B. Godfrey, Michael S. Gashler

Comments 13 pages, 11 figures, IEEE TNNLS Preprint

Journal ref IEEE Transactions on Neural Networks and Learning Systems 29.7 (2018) 2973-2985

Lightweight Pyramid Networks for Image Deraining

Xueyang Fu, Borong Liang, Yue Huang, Xinghao Ding, John Paisley

Comments submitted to IEEE Transactions on Neural Networks and Learning Systems

A Cost-Sensitive Deep Belief Network for Imbalanced Classification

Chong Zhang, Kay Chen Tan, Haizhou Li, Geok Soon Hong

Comments 13 pages, 9 figures, accepted by IEEE TNNLS

Contrast-Oriented Deep Neural Networks for Salient Object Detection

Guanbin Li, Yizhou Yu

Comments Accept to TNNLS

Guided Policy Exploration for Markov Decision Processes using an Uncertainty-Based Value-of-Information Criterion

Isaac J. Sledge, Matthew S. Emigh, Jose C. Principe

Comments IEEE Transactions on Neural Networks and Learning Systems

Complex-Valued Gaussian Processes for Regression

Rafael Boloix-Tortosa, Eva Arias-de-Reyna, F. Javier Payan-Somet, Juan J. Murillo-Fuentes

Comments 13 pages, 18 figures

Journal ref IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018

Output Reachable Set Estimation and Verification for Multi-Layer Neural Networks

Weiming Xiang, Hoang-Dung Tran, Taylor T. Johnson

Comments 8 pages, 9 figures, to appear in TNNLS

Network Unfolding Map by Edge Dynamics Modeling

Filipe Alves Neto Verri, Paulo Roberto Urio, Liang Zhao

Comments Published version in http://ieeexplore.ieee.org/document/7762202/

Journal ref IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 2, pp. 405-418, Feb. 2018. doi: 10.1109/TNNLS.2016.2626341

Inverting The Generator Of A Generative Adversarial Network (II)

Antonia Creswell, Anil A Bharath

Comments Under review at IEEE TNNLS

Online Training of an Opto-Electronic Reservoir Computer Applied to Real-Time Channel Equalisation

Piotr Antonik, François Duport, Michiel Hermans, Anteo Smerieri, Marc Haelterman, Serge Massar

Comments 13 pages, 10 figures

Journal ref IEEE Transactions on Neural Networks and Learning Systems ( Volume: 28, Issue: 11, Nov. 2017 )

Decoupled Learning for Factorial Marked Temporal Point Processes

Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha

Comments 9 pages, 8 figures, submitted to TNNLS, 21 Jan, 2018

Convex Formulation for Kernel PCA and its Use in Semi-Supervised Learning

Carlos M. Alaíz, Michaël Fanuel, Johan A. K. Suykens

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 99, 1-7 (2017)

LSTM: A Search Space Odyssey

Klaus Greff, Rupesh Kumar Srivastava, Jan Koutník, Bas R. Steunebrink, Jürgen Schmidhuber

Comments 12 pages, 6 figures

Journal ref IEEE Transactions on Neural Networks and Learning Systems ( Volume: 28, Issue: 10, Oct. 2017 ) Pages: 2222 - 2232

Dimensionality Reduction using Similarity-induced Embeddings

Nikolaos Passalis, Anastasios Tefas

Comments Accepted in IEEE Transactions on Neural Networks and Learning Systems

Auto-clustering Output Layer: Automatic Learning of Latent Annotations in Neural Networks

Ozsel Kilinc, Ismail Uysal

Comments Submitted to IEEE Transactions on Neural Networks and Learning Systems, 2017

Discriminative Block-Diagonal Representation Learning for Image Recognition

Zheng Zhang, Yong Xu, Ling Shao, Jian Yang

Comments Accepted by TNNLS, and the matlab codes are available at https://sites.google.com/site/darrenzz219/Home/publication

Semi-supervised Feature Analysis by Mining Correlations among Multiple Tasks

Xiaojun Chang, Yi Yang

Comments 11 pages, submitted to TNNLS

Compound Rank-k Projections for Bilinear Analysis

Xiaojun Chang, Feiping Nie, Sen Wang, Yi Yang, Xiaofang Zhou, Chengqi Zhang

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems (IEEE T-NNLS), 2015